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This PDF file contains the front matter associated with SPIE
Proceedings Volume 7130, including the Title Page, Copyright
information, Table of Contents, and the Conference Committee listing.
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Laser interferometric methods are employed in precision measurements and positioning tasks, since they provide the
means for attaining high metric resolution and precision, even over large measurement ranges. The most important
fundamental principles of heterodyne and homodyne interferometers are discussed. A metrological analysis makes it
possible to describe the advantages and limits of laser interferometry. The design and functionality of fibre-coupled
miniature interferometers are described. The broad applicability of interferometers to microtechnology, nanotechnology
and precision mechatronics is explained.
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The crack length measurement method using an ion-sputtered film, proposed by the authors based on the change in the
electric resistance of the film during the crack growth, was applied to the small crack growing in soda lime glass and
alumina ceramics. Since the measurement system can record the electric resistance of the ion-sputtered film at a high
sampling frequency of 125kHz, the crack lengths was measured almost continuously, and the relationship between the
crack growth rate and the stress intensity factor were obtained in the whole regions from low crack growth rate to brittle
fracture. The growth characteristics of the small crack under 1mm in alumina ceramics are clarified to be different from
that of the large crack in the same materials; for example, the n values, which is defined as the constant in the Paris law
relating the crack growth rate to the stress intensity factor, in the soda lime glass and the alumina ceramics obtained by
this research are 74 to 96 and 530 to 580 respectively in the region I, and 12 to 15 and 17 to 25 respectively in the region
II, that are different from the values obtained from a large crack, especially for the alumina ceramics.
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The main content of assessing the machined surface quality of machine components is the geometrical properties of
surface quality. The geometrical properties of the two assessing parameters of identical surface quality (surface
roughness and surface waviness) exist in the identical substance and there are certain blend and fuzziness, what's more,
there is not the concept of the value to describe its varying blend degree, there are, so far, still not practicable methods
and measuring tools to separate surface roughness and waviness completely. In contrast, the paper is based on the
membership function of fuzzy mathematics to research the geometrical properties of surface roughness and waviness.
This method completely broke the traditional one that only adopts numerical values to separate surface roughness and
waviness. It can not only directly separate the two assessing parameters from actual surface, measure the actual values of
parameters that meet the assessing quality and obtain the actual probability of the blend compositions between the two,
but also entirely evaluate the geometrical properties of the actual surface quality, moreover, there will be a quantitative
evaluation for the authenticity and reliability of the measured values from measuring systems and instruments.
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A practical method is introduced to measure the circular runout of a end-milling spindle system at high speed rotations
without the need of a reference sphere. A workpiece is held on a linear slide which moves along the axial direction of the
spindle. The spindle is then programmed to run at a specific speed. A very sharp edge cutter must be used and the depth
of cut will be very shallow in order to keep the cutting force very small. The workpiece is then fed into the end mill in
order to make a cutting mark of teens μm in depth. The cutting marks are circular, and their diameters are related to the
circular runout of the spindle system. The cutting mark that is generated at a specific speed is expected to contain
information about the spindle circular runout at this speed. In practice the cutting marks are not perfectly circular.
Therefore, a best-fit circle of a cutting mark is needed to determine its diameter. A high-resolution edge detector machine
is used for this purpose. Quantitative precision analysis was carried out to confirm the accuracy and repeatability of this
new measurement technique. It is demonstrated that this technique for the measurement of spindle circular runout is an
effective tool in verifying the actual running accuracy of spindles at their actual operating speeds and can be
accomplished without the need for a reference sphere.
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A replacement algorithm used in the calculation of roundness errors by a least regional fitting method has been proposed
in this paper. Using the high fitting precision initial-value, which is calculated by the relative algebraic distance method,
the replacement algorithm needs less iterations and has a higher calculation speed. Simulation tests show the higher
fitting accuracy. The replacement algorithm by using computer programming is applied to measurement software of a
universal tools microscope.
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In accordance with the principle of Three-Line, this paper analyzed the correlation of every main parameter of internal
screw thread, and then designed a device to measure the main parameters of internal screw thread. Basis on the measured
value and corresponding formula calculation, we can get the internal thread parameters, such as the pitch diameter, thread
angle and screw-pitch of common screw thread, terraced screw thread, zigzag screw thread and some else. The practical
application has proved that this operation of this device is convenience, and the measured dates have a high accuracy.
Meanwhile, the application of this device's patent of invention is accepted by the Patent Office. (The filing number:
200710044081.5)
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To obtain the suspending state and position of object in opaque liquid is significantly important and there often meet
many problems especially in the condition that suspending object will interact with the liquid. Traditional detection
methods measurement accurate is too low or it's harmful to human health. One novel ultrasonic detect method was
brought forward. Through analyzing the test environment and the features of ultrasonic test, positive and negative
differential ultrasonic measure principle is presented. The experimental plat is setup and applied to secondary magnetic
buoyancy object position measurement in the novel magnetic fluid inertial sensor. The results show that the secondary
magnetic buoyancy position and its suspending state are accurately measured.
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To improve dynamic measurement performance and resolution, an optimum design on two-dimensional (2D) micro-angle
sensor based on optical internal-reflection method via critical-angle refractive index measurement is presented in
the paper. The noise signals were filtered effectively by modulating laser-driven and demodulating in signal proceeding.
The system's accuracy and response speed are improved further by using 16-bit high-precision AD converter and
MSP430 CPU which present with a high-speed performance during signals processes such as fitting angle-voltage curve
through specific arithmetic, full range and zero point calibration, filter, scaling transformation etc. The experiment
results indicated that, dynamic signal measurement range can be up to ±600arcsec, the measurement resolution can be
better than 0.1arcsec, and the repeatability could be better than ±0.5arcsec.
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The standard of technology without an interesting name (TWAIN) was introduced and a displacement measurement
method was presented. Based on the theories of image capture and image measurement, a displacement measurement
system was developed and subpixel and centroid technique were used to improve the measurement precision. The
Experiment results show that the proposed method has low cost and high precision.
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The manufacture quality of hole of fiddly part with fit requirements doesn't only depend on the machining accuracy, but
also depend on the measuring method of dimension. Traditional detecting instruments have the drawbacks of low
commonality, accuracy and efficiency. However, the high-end instruments are always marked exorbitant price for the
performance. This paper presents a taper measuring method for the hole of part. According to the pneumatic-to-current
theory, this method translates dimensional variables of part's hole into the electric signals, and then, through collection
of A/D data, acquire the dimension of part measured. Finally, the taper of part's hole will be calculated and analyzed by
the computer software system. The method has the superiority in high accuracy, good credibility, strong anti-interference,
high measure efficiency and intuitionistic result recognition.
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Present-day large mobile objects such as the ships are equipped with a large number of different devices and systems
whose mutual angular position must be known to a high degree of accuracy. Owing to static and dynamic deformations
of the object, the angular position of peripheral apparatus such as optical systems, radar antennas , etc. may differ
essentially from that of central devices. For removing the effects of angular deformation, suitable measurement methods
should be studied. The problem of evaluation for angular deformation measurement particularly is becoming urgent for
large-sized vehicles such as big ships, spacecrafts, etc. Fiber Bragg Grating (FBG) sensors can be used to measure many
different parameters including strain, temperature, pressure, displacement, electrical field etc. With the major advantages
which is attributed to wavelength-encoded information given by the Bragg grating, deformation measurement system
based on FBG is briefly introduced. As strain measured by FBG sensor can be obtained, an angular deformation
measurement method using strain information is proposed. Strain response modality model is deduced based on finite
element method (FEM). Based on strain response modality model, experiment strain modality analysis is done and strain
response calculation model can be set up. Then transformation between strain information and angle deformation is
deduced, and the results comparison between using strain response analysis method and using ANSYS analysis method
for simple ship deck structure under different loads is made. The simulation results show that angular deformation
measurement method using strain response analysis is suitable to meet the measurement requirement.
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This paper presents a novel way for the re-constructible CMM software system modeling by taking advantage of a tiered
modeling strategy. It consists of four tiers: (1) the bottom layer is the CAD model manager which encapsulates
geometric engine and 3D object displaying engine as a COM; (2) the middle is the kernel components which is designed
to manage the objects of geometric entity, coordinate system, probe and the system environment parameters etc; (3) the
third layer is function modules layer that is used to manage and handle the messages and events of the windows/dialog,
menus and toolbars; (4) the top layer is GUI module that is designed to initialize the application with the resource of GUI
with the manner of dynamic loading. A set of commercial CMM software, Direct DMIS, has applied the method in a
R&D of China National Institute of Measuring and Test Technology (NIMTT). It proves that the developed system can
effectively integrate the modules distributed in different layers developed with C++ or C# and the proposed method is
feasible.
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A novel automatically measuring planning method in coordinate metrology based on computer vision is presented in this
paper. An active stereo vision system is established by attaching a CCD camera to the mechanical probe of the
coordinate measuring machine (CMM). Through the movement of the probe of the CMM, as well as the camera, 3D
edge characters of the object can be acquired, which are used as clues for automatically coordinate measuring. A multi-baseline
matching method is presented to overcome the ambiguity in stereo matching, and a quadratic interpolating is
used in sub pixel matching to get continuous depth image. The matching is only done on character edges in images, so it
is much faster and more robust. Two methods of measuring path planning are put forward, in one way, a 2D
characteristic edge image which are often stand for rapidly changes in depth or curvature of object surface can be
acquired by projecting 3D edge characters to a scanning plane, and then the sampling points of mechanical probe are
selected depending on the edge image. In the other way, surface patches are fitted to these 3D edges, and the sampling
grid is determined by the type and area of every patch. Using these techniques, a highly automated high-speed, high-precision,
3-D coordinate acquisition system based on multiple-sensor integration can be developed. It has potential
applications in manufacturing problems as metrology, inspection, and reverse engineering.
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This paper calculates the theoretical tooth surface of spiral bevel gear and, using coordinate measuring machine, inspects the actual tooth surface, which provides an objective and quantitative method for inspecting the tooth surface of spiral bevel gears. For many reasons there are some deviations between the actual tooth surface and the theoretical tooth surface. Based on the differential geometry and space engagement theory, this paper deduces the analytical representation of theoretical tooth surface through the process of gear generation. After comparing the coordinates of the actual gear tooth surface and the theoretical tooth surface, a high-precision analysis graphics of tooth surface errors can be obtained by measuring date processing. A pair of aviation spiral bevel gears manufactured by Phoenix 800PG Grinding machine are inspected by Mahr measurement. The result of comparison of gear surface errors, inspected respectively by the method of this paper and by the Mahr's software, shows the consistency of the error distribution. The experiment verifies the validity and feasibility of the method presented in this paper.
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An improved vision calibration method based on free-form surface polishing robot was presented in this paper. Contrary to the classical non-linear photogrammetric approach, the proposed technique can correctly find the solution without the stereo calibration pattern. In this method, a more comprehensive camera model was adopted which based on the pinhole model, extended with radial distortions, decentering distortion and thin prism distortions correction. Take over twenty images of the model plane under different orientations by moving the plane and then detect the corner points in the image, and all intrinsic parameters and extrinsic parameters solving by optimization methods. Real data have been used to test the proposed method and the good results have been obtained. In the process of calibration, calibration precision is improved by freely moving the planar pattern in the space. The excellent performance of the proposed technique, such as convergence, accuracy and robustness, was demonstrated.
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The dynamic error sources of CMM were analyzed and the character of the dynamic error data was investigated in this
paper. Based on the character, the dynamic error model of CMM was built by using Bayesian statistical principle
combined with the standard quantity interposition method. The specific error model building procedures was deduced.
The CMM dynamic error separating and contrasting experimental devices were designed by using the laser
interferometer and the measuring block group. The theoretical analysis and the experiment result indicate that all
influences of the CMM dynamic error sources is considered in the model building method by using Bayesian statistical
principle combined with the standard values interposition method which meets the CMM working condition. The error
model accuracy reaches 2.4 μm and meets the CMM demand. The needed error data size is greatly reduced by using the
dynamic error model building method. The error separating principle by lapping-in the measuring block group is simple,
which is implemented easily and meets the timing dynamic error correcting needs of the ordinary CMM user.
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Path planning and surface fitting are the key technologies in the non-axisymmetric aspheric measuring. In accordance
with the requirements of high-precision compensation machining for parallel grinding of non-axisymmetric aspheric
lens, in this paper, measuring paths are planned based on the machining error. The measuring system is designed and
carried out. The nonlinear least square fitting method is adopted in surface fitting for the non-axisymmetric aspheric lens
and the surface quality of optical lens is effectively estimated by the fitting error. The experiment result indicates that the
fitting residual error is in the 10-3mm magnitude order, which can meet the request of compensation machining. By
comparing with the theory equation, the original data for compensation machining can be obtained, and the accuracy of
compensation machining is well controlled.
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A four-degree-of-freedom gyroscope dynamical model is presented to improve the performance of a tuning fork
vibratory MEMS gyroscope. The effects of the driving and sensing micromachined spring beams for the performance of
the gyroscope are investigated. Two new types of micromachined spring beams named the "two-sect" driving and "three-sect"
sensing spring beams are designed and their stiffness equations are deduced. The evaluation function of the
dynamic performance of the gyroscope with improved suspension system can be obtained. A numerical example with
finite element analysis for comparison is employed to validate the dynamical analysis. The result shows that the
optimized gyroscope has good robustness and high sensitivity. The work is not only suitable for the tuning fork vibratory
MEMS gyroscope, but also has an important reference value for other MEMS design of products.
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Conventional Coordinate Measuring Machines (CMMs) restrict the possibilities for measuring micro mechanical
products and noncontact optical measuring methods are not suitable for true three-dimensional measurements. The
integrated combination of optical sensors and mechanical transducers employed in this research makes an ideal low cost
and high precision touch trigger probe possible to measure miniature components. This touch probe is composed of a
stylus with a fiber sphere (310μm in diameter) and a sensor integrated floating plate. The ball tip is fabricated using
optical fiber with melting and solidification processes. The stylus is attached to a floating plate, which is connected to the
probe housing via four micro wires. The shape and dimension of the floating plate, as well as the length and diameter of
the micro wire, are determined according to the selected contact forces. When the probe tip is displaced the wires will
perform elastic deformation and four mirrors mounted onto the four-legged plate will amplify the up/down displacement
at each mirror position. These displacements can be detected by four corresponding laser focus probes. Experiments were
carried out to test the unidirectional touch trigger repeatability. The standard deviation is less than 10nm. The probe
structure and the experimental results were also analyzed and validated with finite element AnSYS software.
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The purpose of this study is to research and produce water-base nano-PU paint with energy conservation, environmental
consciousness and high efficiency of heat insulation, which can be enhance the traditional PU paint for performance
improvement of heat insulation and range of application. In this study, research will be held on the two-stage synthesis
method. The SiO2 nanoparticles are added into the water-base PU paint to improve the properties of traditional PU
paint. Next, the fundamental properties of this paint, including water resistance, weather rsistance, weak acid solvent
resistance, and heat insulation rate, will be measured and analyzed, and the performance of heat insulation will be
evaluated in order to confirm the performance and practicability of the heat insulation of water-base nano-PU paint in
this study. The experimental results show that for the SiO2/W-PU composite nanopaint prepared by two-stage synthesis
method, the dispersion of SiO2 powder in the water-base PU (W-PU) paint is even. For the SiO2/W-PU nanocomposite
paint prepared by adding SiO2 powder at 8% wt. to the marketed water-base PU, the water absorption of its
experimental sample is enhanced by around 10.1 times, whereas its weak acid dissolve erosion rate is increased by 3.3
times. However, the average heat insulation rate in the thermal properties is also increased, increasing around 24.22%
for the W-PU paint without SiO2 powder.
Through the multilayered coating construction, the water-base nano-PU paint added with SiO2 powder can be used on
any facility of heat insulation, including vehicle, safety helmet, umbrella, drapes, and outer wall of building. The newly
developed water-base nano-PU paint with high thermal resistance is especially suitable for application to the shell
coating of air conditioner and cooling tower,. Due to the better thermal resistance of this nanopaint, the problems of
poor heat transfer and temperature rise of cooling water caused by direct sunlight can be improved. This is of great help
to the energy conservation of air conditioning system.
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As new engineering coatings get ever thinner and more technologically advanced, there is an increasing demand for
accurate assessment of the mechanical properties of the thin films, for instance ultra-thin carbon layers on magnetic
heads, electronic pads for MEMS and LB films. The rapidly expanding field of depth-sensing evaluation and techniques
related provides a quantitative method for mapping the micro mechanical properties. A new type of nano test system was
introduced, the technology principle and the data analysis metho0d were described. It was used to test the performance of
thin films on silicon wafer, steel and glass prepared by many kinds of technologies, this included nanoindentation, to
evaluate the mechanical properties, such as hardness, elasticity modulus, and nanotopography to test the thickness and
roughness, and nanoscratch to investigate the scratch resistance as well as the deformation and failure behaviour of the
films. The results show that nanoindentation and nanoscratch techniques are very useful tools in charactering the
performance of thin films in nano scale.
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An investigation of diffuser/nozzle micropumps is presented. Numerical simulations are done using CFD program
ANSYS/Flotran. The simulations show when the opening angel is small, the flow in the diffuser/nozzle is steady, the
mass flow is increasing with the adding opening angle. But when the opening angel continues increasing, the pressure
grads will be bigger than zero. It means that the static pressure is gradually going up along the diverging direction. The
fluid near the wall stops flowing because the velocity decreases rapidly and the dynamic pressure is not big enough to
overcome the increasing of the static pressure. Finally the fluid flows reversely from the backward position of higher
pressure area, this makes the separation flow of fluid, the diffuser is full of reverse fluid. And this results in the dropping
of mass flow at last. The simulations also show that the performance of diffuser with a round inlet is better than that with
a sharp inlet. The mass flow of micropumps with different opening angles, different inlets are measured. The
experimental results agree well with the simulations.
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PMMA(Polymethylmetacrylate), PC(Polycarbonate) and PS(Polystyrene) are the most frequently used polymer resist for
thermal nanoimprint lithography (T-NIL), and moreover they are suitable for optical devices according to their
well-known high transparency and excellent optical performance. In present research, thermal and mechanical properties
of these three polymers were investigated with the home-made six-axis micro-tester. From the data of test, it is found that
temperature, pressure and embossing time demonstrate crucial effect on imprinting process. Whereafter, nano-gratings of
PMMA, PC and PS which were imprinted by the home-made NIL prototype show finer pattern fidelity, uniformity and
demoulding quality. Consequently, we believe that PMMA, PS and PC possess great potential to be manufactured as
polymer-based MEMS and MOEMS devices by nanoimprinting directly apart from being photoresists for
thermal-nanoimprint.
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The nature of the surface topography significantly influences its functional performances, such as the lubrication, wear,
friction, corrosion, fatigue, et al. Therefore, the need for accurate surface metrology is becoming more and more
important. This paper introduces a high-precision 3D profilometer for surface metrology with the characteristic of high
resolution, long measure range and low cost. The 3D profilometer consists of several parts: the micro-displacement
sensor based on linear phase grating interference, the X-Y 2D platform, the column, the optoelectronic detector and its
signal processing circuit, the computer and data processing software. The precise linear motion of the displacement
sensor is implemented by parallel springs and its high precise displacement measurement is realized by sine phase
diffraction grating. The theoretical vertical resolution of the micro-displacement sensor may achieve 0.12 nm, and the
actual measuring range of the displacement sensor is 2mm, which can reach 6mm by replacing the measuring lever. The
2D platform is driven by servo motor and the double diffraction grating metrology system is adopted to measure the
position of the platform. The resolution step displacement of the 2D platform is 0.2um.
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Scanning tunneling microscope (STM), since it appearance has become an essential tool for investigate and fabricate in
nano scale. It's required a long-term stability of the tip-sample tunnel junction to maintain the high resolution. Focus on
this point, a great deal of effort has been devoted to improve the performance of the stability of the STM working state.
The designed system run in a feedback closed-loop by implementing in a digital signal processor(DSP), in which
real-time output is calculated through proper control algorithm to response to the environment noise. It shows a good
effect in experiment in Nano-vibration isolation.
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Micromachined accelerometers are one of the most widely used MEMS transducers. The theory of force-balance MEMS
accelerometers is presented in the thesis. Meanwhile the paper accomplishes the system-level simulation and analysis of
the force-balance MEMS accelerometer with different structure parameters. Based on the analysis, the conclusion is that
the parameters of folded-spring (such as the length of the beam, the width of the beam) especially influence the output
sensitivity.
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Micro-cantilever structure is flexible and liable to be destroyed compared its volume with its area. Failure mode and
effect analysis can be predicted at an early stage of the micro-beam design. Stiction is a main failure mode for cantilever
in its manufacture process and operation. Under the load shock, if the contact length reached the limit length, the
restoration energy in micro-cantilever couldn't resist the stiction energy, the micro-cantilever would stiction on the
substrate. Pull-in was a main failure mode for electrostatic micro-cantilever. The pull-in voltage was obtained by
mechanical and electrical couple analysis on the base of the FEM model.
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The horizontal magnetometer is a new type of magnetometer whose distinguish feature is that the Lorentz force
reflecting the varieties of the magnetic intensity shares a common plane with the sensing component. This essay
introduces its Structure and the results of the FEA analysis and test. The testing results indicate that the headers were
capable of sensing the magnetic signal and satisfying the tunneling effect.
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Using analyse method of state variable which is independent of system's inputs and outputs, the paper presents a method
to solve the difficult problem of dynamic measurement system modeling on a X-Y working table. Employing this
method, model on one guiding system of x-y working table is established. Transfer function of the model is calculated.
Signal transfer diagram between components of the system is also presented. The analysis results indicate that analyse
method of state variable is useful to modeling on complex system and helpful for understanding the information inside
the system.
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Two groups of indicated grating and scale grating produce two groups of first order Moire fringe. Two groups of first
order Moire fringe interfere and produce second order Moire fringe, and then we can use the four-phase photoelectric
sensors to get two channels of enlarged second order Moire fringe's sine wave signal, their phase difference is
π/2.
Based on chips of QA740204 and QA740210, this paper designs the 20 times subdivide circuit to achieve the
nano-measurement resolution and when the grating's move speed closes to the limit value or exceeding the limit value,
the critical state alert and overspeed alert circuit can be provided in measuring.
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Most of Micro-fabrication technologies are one complex process. The final machining precision and forming quality of
the 3D microstructures are decided not only by the movement and control performance of the machining system, but also
by various outside condition factors. Through real-time monitoring the machining process and eliminating the technical
error, the fabricating successful rate and completing rate will be improved. In this paper, one process monitoring system
based on Machine Vision is presented to be used in one Femtosecond laser micro-fabrication system. According to the
technic characteristic, point to point and layer to layer molding, two monitoring strategies are put forwarded respectively
to different machining process. Single cell point image is used to judge the laser solidified result through the Support
Vector Machine and the machining precision can be promised. The layer image is used to be compared with the design
locus and the forming quality of the 3D microstructure can be gained. Whole vision monitoring system is built with the
Virtual Instrument development condition, Labview. The image obtaining and process are both realized by software, this
decreases the system developing cost. The strategy of the vision monitoring system is also applicable for other micro-fabrication
system.
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In recent years, one of the most attractive research areas in human-robot interaction is automated facial expression
recognition. Through recognizing the facial expression, a pet robot can interact with human in a more natural manner. In
this study, we focus on the facial pose-variant problem. A novel method is proposed in this paper to recognize pose-variant
facial expressions. After locating the face position in an image frame, the active appearance model (AAM) is
applied to track facial features. Fourteen feature points are extracted to represent the variation of facial expressions. The
distance between feature points are defined as the feature values. These feature values are sent to a support vector
machine (SVM) for facial expression determination. The pose-variant facial expression is classified into happiness,
neutral, sadness, surprise or anger. Furthermore, in order to evaluate the performance for practical applications, this
study also built a low resolution database (160x120 pixels) using a CMOS image sensor. Experimental results show that
the recognition rate is 84% with the self-built database.
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The development of a flexible 8x8 temperature and tactile sensing array, which will serve as the artificial skin for robot
applications, is presented in this work. Pressure conductive rubber is employed as the tactile sensing material, and
discrete temperature sensor chips are employed as the temperature sensing cells. Small disks of pressure conductive
rubber are bonded on pre-defined interdigital copper electrode pairs which are patterned on a flexible copper-PI substrate
which is fabricated by micromachining techniques. This approach can effectively reduce the crosstalk between each
tactile sensing element. The mechanical and electrical properties of tactile sensing elements are measured. Also,
scanning circuits are designed and implemented. The temperature and tactile sensing elements are heterogeneously
integrated on the flexible substrate. By using the integrated 8x8 sensing arrays, temperature and tactile images induced
by the heaters/stamps of different shapes have been successfully measured. Radio-frequency (RF) wireless modules are
also developed and integrated on the skin system.
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Thickness of thin film measurement is a important information for the TFT-LCD and semiconductor process, ranging
from spectro-photometry to interferometry. In particular many efforts have been devoted for development of
measurement system to obtain thickness and surface profile. In this paper, we propose a new method by using wavelet
transform to retrieve the phase information, and we demonstrate, with both theoretical and experimental data, that this
method provides a reliable technique for retrieving phase in the wavelength scanning interferomety. Also we show that
the proposed method can reconstruct the non linear phase better than other methods such as the conventional fourier
transform and direct spectral phase calculation method. In the experimental data, we verify that the error of measurement
using proposed method is less than those other methods. The patterned thin film is measured with the proposed method
to obtain the thickness profile and surface profile simultaneously, demonstrating higher accuracy and performance.
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Differential absorption and harmonic detection techniques are always used to eliminate the intensity fluctuation and
optical path interference. However, the cross-talk of gases is not eliminated. For this problem, a correlation spectroscopy
method is proposed. In this paper, we analyze the theory of the system in detail. A method for methane gas sensing using
a 1.6um LED as a light source is demonstrated based on the analysis of the near infrared spectral absorption of methane
as well as the factors such as compatibility with the transmission characteristics of silica optical fiber and the price. The
experiment result is shown and proves that the proposed method is practical for both theory and experiment within the
error. The repeatability and stability are well. The method inherits the excellence of the traditional correlation
spectroscopy, which has high selective characteristics. It can eliminate cross-talk of carbon dioxide etc. Then the
sensitivity of the methane detection is enhanced. The system can be used to detect other gases by changing source, so it
is general.
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In this article, an innovative micro-actuator based on photo-thermal heating is introduced. The basic ideas are to apply a
new way to get large actuation power from laser source. When a beam of laser irradiates a thin sheet, the sheet
temperature increases and volume expands. Besides irradiation laser power, convection coefficient and the parameters of
sheet material, the length-width ratio of sheet also influences the heating process. Applying this characteristic, an
asymmetric photo-thermal actuator was manufactured by the excimer laser micromaching system. Steady-state thermal
analysis is presented. Feasibility experiments with a laser diode (655 nm) as the power source were carried out, and the
data of deflection have been measured under different laser power. The experiment results prove the availability of these
novel photo-thermal micro-actuators, and demonstrate that the deflection can be 11.8 μm at 10 mW laser power. This
mirco-actuator doesn't need of the old power supply modes of external electric wire or small battery, and can be operated
in non-focused uniform irradiation, so it has more mobility and can be controlled remotely. Furthermore, this actuator
can be applied in many special environments.
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This paper introduces a new method to detect drilling fluid density based on intelligent sensor, the core of which is
silicon resonant sensor technology. Two H model resonant beams locating single crystal silicon resonant sensor con vert
differential pressure to frequency signals respectively, then difference of two frequency signals are transmitted to CPU,
export 4~20mA signal corresponding drilling fluid density after D/A converter. This method get over the short comings
of typical drilling fluid density detection used piezocapacitive sensor, such as low accuracy, shattered easily, easy drift
...ect., has high precision, stability and reliability characters.
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The nonlinear identification of the input-output characteristic of the eddy current sensor is an important research task in
the application of the eddy current sensor. At first, the working principle and the working characteristics of the eddy
current sensor were introduced in this paper. Then the nonlinear identification of the eddy current sensor was analyzed in
detail. To aim at the error problem of the eddy current sensor with the nonlinear factors, a feasible project of nonlinear
identification of the eddy current sensor was researched applied the modeling method of artificial neural networks, and a
new artificial neural network is presented to realize the nonlinear identification of the eddy current sensor without
linearization processing. Its design, modeling and implement technology based on a new internal recurrent neural
networks were advanced, and then the data experiments were processed with MATLAB software, thus the measure
precision of the eddy current sensor was enhanced. In the end, the measuring error is no more than 0.1%, and the
dynamic responding time is less than 0.5 second. This method can increase the measuring accuracy and be advantageous
for the test analysis and the data statistics though the online data processing of the computer.
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The distributed optical fiber temperature measurement system (DTS) is a kind of sensing system, which is applied to the
real-time measurement of the temperature field in space. It is widely used in monitoring of production process: fire alarm
of coal mine and fuel depots, heat detection and temperature monitor of underground cable, seepage and leakage of dam.
Through analyzing temperature effect of optical fiber Raman backscattering theoretically, a distributed temperature
sensor based on single-mode fiber was designed, which overcame the inadequacies of multimode fiber. The narrow pulse
width laser, excellent InGaAS PIN, low noise precision difet operational amplifier and high speed data acquisition card
in order to improve the stability of this system were selected. The demodulation method based on ratio of Anti-Stokes
and Stokes Raman backscattering intensity was adopted. Both hardware composition and software implementation of the
system were introduced in detail. It is proved that its distinguishing ability of temperature and space are 1 m and 2 m,
respectively. The system response time is about 180 s, with a sensing range of 5 km and the temperature measurement
range 0~100 °C.
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In order to raise the stress measurement sensitivity based on magnetoelastic effect, a new kind of whole differential
magnetoelastic stress sensor with five magnetic poles is designed. First the author introduced the basic sensor structure,
the size parameter and the choice of the magnetic core material, and then according to the magnetoelastic effect carried
on analysis to the work principle of the sensor, making use of electromagnetism and principle of superposition again
inferred the sensor voltage output equation as well as the current sensitivity formula. Finally, the author make a actually
measure, and the test result indicated that the actual torques tested by using the magnetoelastic stress sensor made by
author with the result of calculation is consistent. Compared with other magnetoelastic stress sensors, the sensor
designed by author has simple structure, is easier to manufacture, more precise and sensitive. These characteristics can
satisfy the request of engineering application and it is the worth to popularize.
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A method of measure the information of three-dimensional force tactile sensing based on flexible pressure sensitive
conductive rubber has been presented. The conductive mechanism and piezoresistivity of flexible pressure sensitive
conductive rubber ware analyzed. A new type three dimensional force net array structure of flexible tactile sensor of
robot sensitive skin has been designed. The mechanics model of the three-dimensional force has been found. Through
experimental study the three-dimensional force based on the tactile sensor units, the change output resistances of
pressure sensitive conductive rubber of sensor array unit have been obtained under action of three dimensional forces.
All which provided the effective basis for the confirmation experiment result and the new structural design. The results
show that pressure-sensitive conductive rubber with fine electrical and mechanical properties for flexible tactile sensors.
The robot sensitive skin using this material feels like the skin of human being and measure the information of multi-dimensional
force.
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A method to retrieve small phase aberration from a single far-field image is proposed. It only needs to calibrate the
inherent aberration of the imaging system once, and then the difference between a single measured image with aberration
and the calibrated image with inherent aberration is got to retrieve the disturbed phase aberration by an approximate
linear relationship. Computer simulations are employed to analyze the performance of this linear phase retrieval (LPR)
wave-front sensor. The dynamic range of this method is discussed without noise to judge how small it is needed to
satisfy the method. The results show that the proposed small phase retrieval method works well when the RMS phase
error is less than 1.6 rad. The Linear Phase Retrieval wave-front sensor and the Hartmann-Shack wave-front sensor are
compared on the same stochastic wave-front aberration. The influence of different calculation condition on the retrieval
results is compared and analyzed. After analyzing the target resolution, it is thought that a reasonable target size is
advantageous to the retrieval precision. At the same time, the LPR sensor can realize the alike precision measurement by
using less detect cell, such as 8 pixelx8 pixel in our experiment. From the retrieval results of different orders, the error
rate are less than 0.25 and it is comparatively accurate to retrieve pre-35 order aberrations.
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Detection principle of tension sensor for diamond string bead wire is introduced. Its calibration is carried out. Analysis of
sensor performance shows that it can meet the design requirement. Its main specification includes: the measurement
range is 0~3000N, the accuracy is less than 0.5% FS, the non- linearity is less than 0.2% FS, the delay is less than 0.01%
FS; and the repetition is less than 0.05% FS. The tension sensor can accurately and reliably measure tension of diamond
string bead wire. Thus, working process of diamond wire saw can be controlled according to tension condition of string
bead wire, and it is favorable to improve efficiency of diamond wire saw. The sensor has good waterproof and
shockproof capability, so it can safely and stably work under water.
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In this work a novel method is proposed for the sensor calibration, by combining Recurrent Neural Network (RNN) with
feature extraction. RNN is used as the neural network model trained to calibrate the measuring error, while Kernel
Independent Component Analysis (KICA) and Independent Component Analysis (ICA) are introduced in as the feature
extraction as comparison. And by examining the data of an example of temperature sensor calibration of Agilent 34970,
it is shown that the proposed methods can both perform good calibration comparing with single RBF method. And the
KICA method performs better than the ICA method.
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A sapphire fiber thermometer for high temperature measurement is described. The mechanism of the fluorescence
temperature measurement is based on the basic physical phenomenon of photoluminescence. The so-called
photoluminescence essentially is the superthermal radiation luminescence when some materials are stimulated by
ultraviolet, visible or a certain form of the infrared electromagnetic radiation. The fluorescence lifespan and fluorescence
strength of all fluorescence materials will imply some temperature correlation within some homologous temperatures.
It uses a specially grown sapphire fiber as thermometer probe. The end part of the sapphire fiber is doped with Cr3+ion
by means of the laser heat pedestal growth (LHPG) method and coated with some high radiant material to constitute a
mini fiber cavity. The fluorescence thermal probe offers the advantages of a compact structure, a high performance and
the ability to withstand high temperatures in detection. According to the surface temperature, we can obtain the inner
temperature by the temperature field. It can be used to measure the steel fluid of the tundish in continuous cast steel
machines. An experimental system of the thermometer and the preliminary experimental results are presented.
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A self-diagnosis method for hot film airflow mass microsensor has been developed for the vehicle air intake. Based on
the theory of heat transfer and airflow mass rate measurement for internal combustion engines, a hot film airflow mass
microsensor with self-diagnosis capability is designed. It is composed of a heat sensing unit, a temperature sensing unit
using a Heraeus silicon, a signal processor, a converters, a heater, a heating controller and a computer. The temperature
sensing unit is split into a heater upstream temperature sensing resistor and a heater downstream temperature sensing
resistor according to the air intake flow direction. From both theory and experiments, the relation between the heat
transfer rate of the heater and the airflow mass rate at the air intake are deduced under the working conditions of a certain
engine, and the temperature distribution rules in the heater surface, heater upstream and heater downstream are obtained.
These relations are regarded as a reference model for the self-diagnosis in the microsensor. Finally, the failure of the
microsensor can be detected by comparing the real-time measurement model with the reference model. Thus, this
method can not only measure mass airflow rates in real time, but also inspect diagnosis faults of the heat sensing unit and
the temperature sensing unit automatically.
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A detailed analysis of the principle of Shack-Hartmann wavefront sensor is presented. Typical performance metrics such
as dynamic range, sensitivity, repeatability and accuracy are defined and discussed. A method with which to calibrate a
Shack-Hartmann wavefront sensor for absolute wavefront measurement for tilt without any accessorial apparatus is
studied, and the method is tested by experiment.
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The Raman lidar technique has the capability of accurately profiling the extinction coefficient of aerosol. A Mie-Raman
lidar was developed for measuring the optical properties of atmospheric aerosol, such as extinction coefficient, volume
backscatter coefficient and lidar ratio. The vibrational Raman signal of nitrogen and Mie-Rayleigh scattering signal are
separated spatially by use of the high-resolution grating and narrow bandpass filters, and then detected by two
photomultiplier tubes with a pre-amplifier. Preliminary experiments show that the Mie-Raman lidar system operated in
analog detection mode has the capability of measuring aerosol profiles up to a height of 3km with 250mJ of laser energy
and 8 minute integration time.
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A rotational Raman lidar system at a wavelength of 355 nm has been developed for measuring the vertical temperature
profile of the planetary boundary layer in the lower troposphere. A high-resolution grating is employed with two sets of
narrowband interference filters to suppress the elastic Mie- and Rayleigh-scattering signals and to separate two rotational
Raman signals for temperature retrieval. The central wavelength of two interference filters are located at 353.9 nm and
352.5 nm, respectively, in which wavelength temperature coefficients of rotational Raman spectral are opposite in sign.
The preliminary experiments are carried out for verifying the feasibility of the prototype of the ultraviolet RRL, and the
results show that the temperature sensitivity of the system is 0.43%/K and the statistical temperature errors of less then
1K are obtained up to a height of 2 km for nighttime with 300 mJ laser energy and observation time of ~8 min.
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A wireless sensor network (WSN) monitoring system was designed, because of the big labour, time-consumption, and non-real-time monitoring of the true physiological data of athlete for wire communication, which were very important for their coach. The coach, who obtained the first material, can know the physiological sports status of althletes according to these data, can intervene on them and formulate a scientific training plan. The system has the characteristic of a random layout, arbitrary additions and combined network nodes. The performance of the system for 24 athletes who were trained has been tested in the system improved LEACH-c protocol and a threshold sensitive energy efficient protocol has been applied. The experimental results showed that, while the interval time of the contact was more than 15 seconds, the network packet loss rate was less than 3 percent. The operation of the network can be considered to be relatively stable. During the test, the MAC network capacity obtained by the actual tests in the implicit terminal mode was three packets per second. Considering the costs of a node sending routing maintenance packet, a network capacity of 2 was reasonable. Based on the performance of the system for testing, the results showed that the system was stable and reliable
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The MAX1457 is a special sensor signal processor optimized for piezoresistibve sensor calibration and compensation. Smart compensation system is designed based on full study of MAX1457 principle. The scheme of compensation system is given. The software of smart compensation system developed by VC++ can run on any windows operating system. The parameters can be achieved automatically. Each step of compensation is guided by diagrams. The system is stabile and reliable, through field test. The issues of consistency, temperature shift and nonlinearity are solved by the system. An output error factor of silicon piezoresistive sensor is achieved within 0.2%.
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To improve the precision of time grating displacement sensor and enhance its performance by software, three intelligentization methods are studied. A self-compensation method is proposed based on digital closed-loop control technology that eliminates the influences of these factors such as working condition, circuitry parameters and so on. A self-calibration method for time grating is presented that eliminates zero drift and gain drift without external high-precision reference signals. Then an error self-correction method is proposed. Experiment results conform that high stability is obtained by using self-compensation and self-calibration technology, and high precision is achieved by using self-correction technology.
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Leveling of specimen surfaces is very important in measurement of surface roughness. If the surface is not leveled, the measured roughness has large distortion and less vertical measurement range. It is convenient to utilize some automatic leveling procedures instead of manual leveling which needs longer adjustment time. In automatic leveling, a new algorithm is proposed, which is named the spring method superior to the least square method. The spring method has an advantage that a part of tentative data points is used to calculate the surface inclination, so the obtained results are less influenced by local pits for example. As examples, the spring method was applied to actual engineered surfaces, which were milled, shot-peened, and ground surfaces, and also an artificial ditched surface. The results went well for the calculation of the surface inclinations and consequently the specimen surfaces were leveled with less distortion and large vertical measurement range can be achieved. It is also found the least square method is a special case of the spring method with using all sampling data points. That means the spring method is a comprehensive procedure including the least square method. This must become a very strong and robust method in automatic leveling algorithm
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Since the unmanned aerial vehicles (UAVs) bring forth many innovative applications in scientific, civilian, and military fields, the development of UAVs is rapidly growing every year. The on-board autopilot that reliably performs attitude and guidance control is a vital part for out-of-sight flights. However, the control law in autopilot is designed according to a simplified plant model in which the dynamics of real hardware are usually not taken into consideration. It is a necessity to develop a test-bed including real servos to make real-time control experiments for prototype autopilots, so called hardware-in-the-loop (HIL) simulation. In this paper on the basis of the graphical application software LabVIEW, the real-time HIL simulation system is realized efficiently by the virtual instrumentation approach. The proportional-integral-derivative (PID) controller in autopilot for the pitch angle control loop is experimentally determined by the classical Ziegler-Nichols tuning rule and exhibits good transient and steady-state response in real-time HIL simulation. From the results the differences between numerical simulation and real-time HIL simulation are also clearly presented. The effectiveness of HIL simulation for UAV autopilot design is definitely confirmed
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The article deals with the measurement principle and characteristics of the Y/JTG-1 Gyro-Total-Station, and calculates the Five-parameter and Three-parameter mathematical model of the gyrostatic orientation tracking surveying. Based on the calculation results and the GeoBASIC computer language, the authors compiled the smart Gyro-Total-Station orientation tracking surveying software, which is based on a TDA5005 Surveying Robot and embed in the TDA5005 by a new technology. Some measurement and calculation work, which has been completed by the controller and computer by traditional methods, can be done completely by a Total Station nowadays, so it predigests the field measurement process, improves the orientation efficiency and real time measurement. The research tested and compared the measurement precision of the Five-parameter and the Three-parameter model by field measurement and calculations.
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Special tanks are important for energy source storage and transport. Based on the research of current calculation techniques for special tank capacity, a new principle and technique for special tank capacity calculations is discussed, which converts the capacity calculation into setting out and sets up a tank coordinate system. It completes all the work with a surveying robot online control mode. The new technology can calculate the tank capacity fast and precise and avoids the disadvantage of traditional measurement technology. Furthermore, special a software system is compiled, which can measure, calculate, adjust and create report tables automatically. Finally, the measurement accuracy and efficiency of the measured data are analyzed.
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In switch tank, fault arcs are constant and disastrous trouble. At the present time, the protecting project of fault arcs function after generating aflame arcing, which does not avoid of generating major fault arcs. Switch tank and electric facilities must be destructed by major fault arcs. In the paper, simulation experimentations indicate that the method based on lyapunov exponents can extract arc sounds inundated background of complicate noise. With arc sounds generated before major fault arcs, the early alarm system of fault arcs is established by arc sounds, which avoids endangerment brought about by major fault arcs. There are arc sounds before generating major fault arcs. The protecting system sends out early alarm signals by detecting arc sounds. When major fault arc is generated, the protecting system sends out alarm signals by arc sounds, short circuit current and arc lights. So, the protecting system of fault arcs is established by multi-criteria. The protecting project can act as double protection to fault arcs.
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In order to reduce destructive testing of car sub-assemblies, on-line inspection of weld quality has gained more and more concern in terms of both resistance spot welding (RSW) and weldbonding. Dynamic resistance directly determines the amount of heat generated by current flow and consequently reflects nugget formation and growth, which is one of the most effective technologies for quality inspection. Under the measurements of voltage and current at the secondary circuit of a welding transformer, this paper proposes a method for on-line inspection of weld quality based on two indicators from dynamic resistance curve: time to nugget initiation and durable time to nugget expansion. Firstly, during the welding process of RSW and weldbonding, the proper range of time to nugget initiation and durable time to nugget expansion for good welds is set up. Then on-line inspection of weld quality on the basis of the developed proper range of these two indicators is carried out. The experimental results show the following conclusions: it is clearly able to separate accepted welds without expulsion from the welds of unaccepted nugget size in both RSW and weldbonding; the proper range for good welds, independent of electrode wear, is obtained only for a new electrode.
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An innovative nanopositioning control system is proposed in this paper. A commercial ultrasonic motor (Nanomotion Co. model HR4) is employed to generate 3-mode motions of different scales. A multi-scale positioning control scheme can thus been developed by integrating the 3 driving modes. A new displacement sensor LDGI (Linear Diffraction Grating Interferometer) is developed and served as the displacement feedback. The uncertainty of LDGI system has been proved less than 10nm in 15mm. By phase subdivision technique the resolution of LDGI can be interpolated to 0.25nm. With this hardware system a software-based controller is developed. A self-tuning module, called Back Propagation Neural Network (BPNN), is added to a PID control loop. This self-tuning PID controller shows more robust than conventional ones, especially when some unpredictable disturbance occurs. Experiments show that this system is able to reach the steady state in 2 seconds without notable overshoot or vibration and hold the position for a long time with the positioning error less than 3nm. When some disturbances occur the system can build a new steady state in 2 seconds.
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Machine vision is used to assess surface roughness of work pieces in different circumstance light conditions. Different from the traditional stylus way, the machine vision method is a non-contact and non-destructive surface inspection method, and therefore has the prospect in manufacturing application. The effect of ambient light on gray-level distribution parameters was first analyzed. Then a new method, which counts the pixel numbers whose gray value is larger than sum of the Otsu threshold and a given constant, was proposed to represent different roughness. Finally some experiments were conducted to compare the proposed method with other two methods-the first is the method based on standard deviation and root mean square height of the gray-level distribution proposed by Luk, and the second is on gray-level co-occurrence matrix-to evaluate surfaces with different roughness in different conditions. The parameters, such as the constant of the proposed method, the distance and the angle of the gray-level co-occurrence matrix, were optimized to obtain better inspecting performance. Results show that the variance sum between inspecting values of the proposed method and its corresponding real surface roughness is less than half of the other two ways.
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Accurate and rapid 3D position measurement is required in many industrial applications. Traditional 3D position measurements is usually applied in laboratories using coordinate measuring machine(CMM). CMM can achieve a high accuracy, but efficiency is low. Machine vision is a new technology in position measuring. Measurement based on machine vision has non-touch, high speed, high accuracy and other prominent advantages. Because depth information is lost during the process of image formation, synthesizing operation become more complicated, direct 3D position measurement based on machine vision has hardly been used in online industry application. In this paper, an indirectly online 3D position measurement system is discussed. This system is consisted with an assistant gauge, one set of machine vision system and a computer. Through the assistant gauge, 3D position measurement is transffered to 2D measurement. Thus, making full use of existing 2D image processing theory and method, accuracy and speed of measurement of 3D position measurement may be promoted effectively.
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In this paper, on the basis of traditional rotor fault diagnosis and vibration measurement technology, and combined with rotor dynamics, a virtual instrument and digital signal processing technology, an online monitoring system for the rotor of a roots blower is set up. The system is made up by a sensor, a signal conditioning circuits, a data acquisition cards and a computer. By the graphical design software LabVIEW, the signals of the rotor system such as speed, amplitude, frequency and axes orbit can be monitored in the real time-domain. Regarding the rotor vibration characteristics in the time- and frequency-domain as the major fault symptoms and using spectrum analysis or time-domain analysis to deal with all data, it provides the characteristics and mapping to inform about the operating state of the rotor system. Finally, by means of the model test, the dynamic characteristics of a rub-impact rotor are analyzed, and the reliability of the system is verified.
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To improve efficiency of on-line automatic inspecting auto rack girders, we recognize kinds of them in advance. This paper puts forward a vision recognition method based on wavelet transform theory and ART1. Firstly, for the real-time gathered auto rack girders images, we must carry on pretreatment of images about de-noising and enhancing, edge which is enclosed by enhanced images is partitioned to 16 regions, according to information which is position and size of holes in 16 sub-regions, gain two binary character templates which shows numbers, types and distribution of holes; Secondly, study abstract binary code with ART1, and scan up, down weights and corresponding serial number of neuron in database which consists of data of hundreds of auto rack girders. If serial numbers of output neuron are the same which is in two character templates, then this type auto rack girder is inspected. Before on-line inspecting, we gain character templates of different auto rack girders, study them with ART1. Gained the above information are saved in database, they are used as a criterion of recognition. Experiments indicate on-line maximal recognition rate meets demands of production, based on this method, and possessed advantage of more rapid and more precise recognition etc.
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Because the application of spiral machinery become more and more extensive, the manufacturing and measuring technology of spiral surface, which is regarded as the key of spiral machinery, is becoming a most important research domain. With the requirement of higher speed and better performance of modern machinery, the higher precision of spiral surface is desired. So measuring technology of spiral surface seems particularly important. But it is still inconvenient for the measurement results of spiral surface from three coordinate measuring machine being directly applied for error analysis and error compensation in machining process. For the geometric characteristics, the measurement of spiral surface can be simplified the measurement of end cross-section and spiral individually. Because spiral is only relevant to lead which can be calculated precisely with simple method, spiral can be obtained analytically. Therefore, the measurement for spiral surface is practically for its end cross-section. With the end cross-section as criterion of its error evaluation, the shape of end cross-section can be obtained through two coordinate online measuring. According to the minimum condition, the error analysis for the results of reverse is done, the practical measurement points are fairly treated, and compensation is done reasonably. The aim is to realize online revision for NC program, to realize the control of machine, and thus the compensation of the tool is carried out. NC screw rod milling machine will be developed towards stronger robust, higher precision and integration with this function being integrated in the Open-architecture Numerical Control System.
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This paper did a research on the uniform motion of the moving mirror in the spectrometer and the alignment with the fixed mirror. Firstly, a brief analysis is made on the factors that affect the uniform motion and the reasons of the misalignment. And then, a strategy is described to control the movement of the moving mirror that based on phase detection. Meanwhile, a detailed introduction to the strategy is presented from the aspects of the hardware design and algorithm realization. The experimental data and result shows the control system for the moving mirror has sufficient precision and timing to ensure the alignment needed by the interferometer in the FTIR spectrometer and the requirement by the moving mirror of its uniform motion as well. As one of the key techniques in the project of "Research and Development on the Fourier Transform Infrared and Laser Raman Spectrometer", one topic of the National 10th Five-year Program of Science and Technology, it will make a significant meaning in the area of precise driving and positioning, fast tracing and adjustment as well as feedback control, whether in theory or practicality.
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Gas Logging is important for discovering and evaluating oil gas zones in the course of logging. Aimed at the features of gas logging in our country, a new method of automatic vacuum mud still (AVMS) is presented for the first time, which has no basic distortion of gas samples and overcomes the limitations of basic distortions caused by uncontrolled blending air in the samples in traditional degassing methods. This paper develops the theoretical basis of the system design, the working principle of AVMS, the gas flow path and its characteristics. It is proved by experimental results, that the hydrocarbon content of the sample produced by this system is ten times higher than by routine degasser. As a result, the accuracy of gas reconnaissance is improved.
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The invention and manufacturing of the synthetic experiment system of machine equipment fault diagnosis filled in the blank of this kind of experiment equipment in China and obtained national practical new type patent. By the motor speed regulation system, machine equipment fault imitation system, measuring and monitoring system and analysis and diagnosis system of the synthetic experiment system, students can regulate motor speed arbitrarily, imitate multi-kinds of machine equipment parts fault, collect the signals of acceleration, speed, displacement, force and temperature and make multi-kinds of time field, frequency field and figure analysis. The application of the synthetic experiment system in our university's teaching practice has obtained good effect on fostering professional eligibility in measuring, monitoring and fault diagnosis of machine equipment. The synthetic experiment system has the advantages of short training time, quick desirable result and low test cost etc. It suits for spreading in university extraordinarily. If the systematic software was installed in portable computer, user can fulfill measuring, monitoring, signal processing and fault diagnosis on multi-kinds of field machine equipment conveniently. Its market foreground is very good.
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An online measuring system can automatically detect large screw threads by using the neotype gauge head of threads, which includes a TESA inductance type transducer and a probe pin chosen according to the tooth-type of the screw thread. The contact measurement method was adopted on the basis of the synthetic measurement principle. The functional diameter of thread has experimentally been investigated and analyzed. The method of data processing is not only based on the principle of a precision measurement, but also on the principle of a dynamic test. The dynamic error is analyzed in this paper by spectrum analysis. The dynamic error is taken out and data of the functional diameter of the thread will be obtained. The analysis and the results of an actual measurement mentioned above show that the neotype gauge head of thread is capable to get the error and relative changes of the functional diameter of the screw thread. So the compatibility of saw-tooth thread can be evaluated. The system is not only suited for the test of saw-tooth thread, but also for that of other large threads with different tooth forms by using different types of probes. External threads as well as internal threads can be tested. Because the measurement strength of the neotype gauge head is much smaller than that of regular screw gauges, thus diminishing the measurement error resulting from the contact stress, the measurement precision of the gauging head can reach 1μm.
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This paper intends to develop an on-line monitoring expert system for heating system fouling. It chooses pressure, flowing and temperature as basic diagnostic variables. The basic evaluative guide lines are the coefficient of flowing resistance, the efficiency and cost of heating system. This system can be used to monitor the fouling degrees and estimate the fouling positions. The expert system is programmed by Delphi to realize all functions.
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In hybrid electric vehicle, engine begain to work only when motor was in high speed in order to decrease tail gas emission. However, permanent magnet motor was sensitive to its load, adding engine to the system always made its speed drop sharply, which caused engine to work in low efficiency again and produced much more environment pollution. Dynamic load torque model of permanent magnet synchronous motor is established on the basic of motor mechanical equation and permanent magnet synchronous motor vector control theory, Full- digital load torque observer and compensation control system is made based on TMS320F2407A. Experiment results prove load torque observer and compensation control system can detect and compensate torque disturbing effectively, which can solve load torque disturbing and decrease gas pollution of hybrid electric vehicle.
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A kind of detection method based on principle of cone penetration test is put forward in order to rapidly get synthetical factors and section distribution curves of strength of the roadbed layer which is being measured. An on-vehicle roadbed strength testing equipment with this method is developed successfully. A computer controls the detection process and completes the data processing automatically. By the high speed of detection, online detection can be reached easily, therefore the entire course of construction of roadbed of highway and railway can be supervised to make sure quality of construction. It is proved by industrial experiment that the testing results reflect the reality of detected roadbed and potential quality problem under the surface of roadbed can be found quickly by the section distribution curve of strength of the roadbed layer. The testing equipment has passed through the technical appraisement organized by Railway Ministry.
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The principle of on-machine measuring large gears with the rack-head was presented and proved. And results of
measuring profile errors, straight generatrix errors were given.
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Multipoint measurement technology for the thickness of bearings is one of the difficulties in testing industry of bearings. Based on optical triangulation measurement principle, a method for the multipoint measurement of bearings' thickness is presented in this paper. The measurement principle the composition and the mathematical model are presented. The real-time data record processing system is designed based on Labview. The accuracy of system was verified by experiments. The measurement accuracy of system is not more than 0.002mm.
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An intelligent measure instrument of temperature and humidity was developed, which has the following functions: real-time examining, saving and showing the temperature, the humidity and the dew-point of environment, displaying dynamically date and time, and saving all data records when the power is off. It can not only dynamically draw the temperature-time curve and the humidity-time curve, but also perform the statistical analysis on the data saved by the instrument and produce a report in the Excel format. The system can calculate the maximum, the minimum, the average and the variance of the data records. The instrument communicates with the PC through the USB interface, which can be conveniently used to measure temperature and humidity in a variety of environments.
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The original detecting process of leveling degree of machine-facture in foreign-funded enterprise of Singapore exists such shortcomings as being miscellaneous and trivial in numerical reading process, relatively bigger personal subjective errors and inefficient long range job intensity of labor etc. This article applies the novel laser sensor to detect the leveling degree of Machine-facture with a higher accuracy. S7-200PLC of Siemens, motion module EM253 and stepping motor are tied in wedlock to realize accurate allocation of 2-dimension of X axis and Y axis. And the result shows the system has more merits like high accuracy, nimble reliable control, low defending, strong system transplanting function and improved availability, etc. And the system has applied successfully in foreign-funded enterprise of Singapore.
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Missile must lock onto its target rapidly by holographic tracking, process its tracking signal simultaneously, be controlled with high speed. This can make missile have high mobility, high accuracy and high hit rate. Holographic detector which be designed on the detection principles of infrared signal, radar signal and laser pulse signal can detect these kinds of signals, and the holographic information detected by holographic detector be coded and output can control missile's flight. Hardware circuits compose the whole design, this can not only prevent undesired signals, but also increase rate of reaction.
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With the constant improvement of the Internet, Net data information acquisition of electric energy meter could be turned into reality. Based on the current electric energy meter, it could be remote controlled by adding internetwork communication module. With the well-functioned ARM kernel microprocessor being its core, the overall system of electric energy meter is managed by μC/OS-II operating system. Electric energy data could be measured and processed by adding proper hardware and software on the basis of ordinary electric energy meter, so that it could also be communicated over Ethernet. The whole Net electric energy meter is noted not only for its low cost, high stability and reliability, but also for its high practical value. Thus, a large-scale popularization and application of it will surely makes the national measure management of electric energy improve greatly.
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The paper introduces a detection system of local mechanical strength of material. The principle of the system is based on the double-hole micro-shear test method. The core of detection system is MSP430F149 SCM. The working principle of the system is that the shear tool is driven by the stepper motor; the data is gathered by the load sensor and the displacement sensor; after it is processed by A/D converter of MSP430F149 SCM, we can gain the load and the displacement curve and get the maximum point of yield strength; according to the load value, the system determines the material mechanical intensity; Thus, a real-time detection system is set up. Experimental results show that detecting system based on double-hole micro-shear is fast, easy, accurate and intuitive to detect mechanical strength of the local material. So it can be widely applied to detect the local mechanical strength of kinds of mining and load bearing equipment via setting reasonable load value, which can avoid the accident of overload or super strength effectively.
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Manual methods of surface defect detection and recognition on steel balls which have large workload and poor reliability are widely used in domestic manufactories. The defects of steel balls' surface have several primary categories, including pitting, scuffing, scratch and nicks. An image processing technology for automatic detection of surface defects on steel balls is proposed. The first step is image segmentation. According to defects' images which have different gray-level histogram, iterative method and mode method are adopted to make binarization. Then, a connected component labeling algorithm to sign the connected region in binary image is also presented. The following and a crucial step was feature extraction. General geometry features and moment invariant features of every connected region are calculated for recognition. Eventually, BP neural network is an efficient approach to recognize classification. Experiment show that mainly 95 percent of the surface defect categories have been classified correctly.
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Being a vital manmade water-control structure, a dam plays a very important role in the living and production of human being. To make a dam run safely, the best design and the superior construction quality are paramount; moreover, with working periods increasing, various dynamic, alternative and bad loads generate little by little various distortions on the dam structure inevitably, which shall lead to potential safety problems or further a disaster (dam burst). There are many signs before the occurrence of a dam accident, so the timely and effective surveying on the distortion of a dam is important. On the basis of the cause supra, two intelligent (automatic) monitoring systems about the dam's safety based on the RTK-GPS technology and the measuring robot has been developed. The basic principle, monitoring method and monitoring process of these two intelligent (automatic) monitoring systems are introduced. It presents examples of monitor and puts forward the basic rule of dam warning based on data of actual monitor.
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In this paper, inertial force of an Actuator Arm of a Hard Disk Drive (HDD) in free oscillation after an impact load is accurately measured by means of a finite element analysis and by carrying out experiments using a modified Levitation Mass Method (LMM). A 3D finite element model of an actuator arm of a HDD is modeled in ANSYS/LS-DYNA using shell elements. An impact load, which is modeled as a half sine force pulse, is applied to a mass, which is attached with the Actuator Arm. The velocity and the inertial force of the mass in free oscillation are obtained from the simulation. In the LMM method, the arm is attached to a mass, i.e. the moving part of an aerostatic linear bearing, and the total force acting on the mass is measured as the inertial force of the mass using an optical interferometer. An impact is applied to the mass with the arm by colliding it to the metal base, and the inertial force of the arm is evaluated during the free oscillation. The velocity and the inertial force of the mass are calculated from the measured time-varying Doppler frequency shift. A good correlation between the experimental and numerical results is achieved. This numerical analysis can be further used to investigate the dynamic response of the actuator arm when it is subjected to different impact load, which is modeled with half sine force pulse with different pulse widths and amplitudes.
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The authors proposed "Space Scale" concept for measuring astronaut body mass in spacecraft on orbit. For the development of the flight hardware, accuracy/precision/operability verification tests under simulated microgravity are mandatory. We tested our device on a business jet flying parabolas to simulate microgravity. In addition to design constraints from microgravity, human factor engineering aspects also had to be dealt with. Methods (1) Mass was calculated based on (Mass) = (Force) x (Acceleration). (2) For Flight Test Series #1, a metal dummy mass of 9.37kg was used on parabolic flight tests. (3)For Flight Test Series #2, human subject mass was measured. (4) To eliminate acceleration noise from cabin vibration and air turbulence, data were rigorously filtered post-flight. Results With Flight Test Series #1, mass of the dummy was successfully derived with the standard uncertainty of 2.1 % for single measurement, and 0.7 % for the mean value of 12 measurements. Each measurement duration was less than 3sec., with rubber cord length reduction of 1 m. Conclusion The parabolic flight environment was a noisy acceleration field. Future studies should look more into human factor engineering aspects.
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Heat from manufacturing processes like casting and heat treatment may cause localized expansion in parts. When these parts are cooled subsequently, some areas cool and contract more than others, leaving residual stresses, which may exert a considerably negative influence on both the structure's static strength and fatigue lifetime. So it is necessary to measure or predict the stress distribution in parts after heat treatment.
In this study, residual stresses in the specimen are measured by ESPI (Electronic Speckle-Pattern Interferometry) combined with the hole drilling method. The material of specimen is SUS 304 austenitic stainless steel. It is quenched and water cooled subsequently. We also simulated the thermal stresses field induced by casting process by numerical analysis. As a result, comparisons of results from presented method as well as numerical solution are presented finally to give a conclusion on this residual stress measurement method in this paper.
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Thick pre-stretched aluminum alloy plates are widely used in aircraft, while machining distortion caused by initial residual stress release in thick plates is a common and serious problem. To reduce the distortion, the residual stress distribution in thick plate must be measured. According to the characteristics of the thick pre-stretched aluminum alloy plate, based the elastic mechanical theory, this article deduces the modified layer-removal strain method adapting two different strain situations, which are caused by tensile and compressive stress. To validate this method, the residual stresses distribution along the thick direction of plate 2D70T351 is measured by this method, it is shown that the new method deduced in this paper is simple and accurate, and is very useful in engineering.
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In the process of vibration monitoring, position error of sensors and transformation between acceleration and displacement of vibration signal may influence the accuracy of vibration monitoring. This paper presents an algorithm based on spatial vector transform and frequency domain integral. And a vibration monitoring system is also developed. Experimental results show that the vibration coupling caused by position error of sensors can be eliminated by signal transformation, which is useful to identify vibration source. Furthermore, the errors of accuracy and phase exist in conventional integral algorithm can be overcome by using frequency domain integral in the conversion between acceleration and displacement. So, higher accuracy conversion can be acquired in this way. The monitoring system can offer accurate data to distinguish the vibration state of machine tool with stable property.
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The axial vibration of precision ball screw mechanism is the major factor on its positioning accuracy and noise. Many factors were contributory to the vibration, which includes the waviness of balls and groove, the friction between moving ball and groove, foreign substance in rollaway nest and the impulse during the balls entering and exiting the return mechanism and etc. In this paper, vibration experiments on pairs of ball screw mechanism which type is CD4020x1200 were performed with different speeds. The test result revealed that the vibration of the mechanism is caused by a periodically invigorative factor varying with rotating speed. Moreover, a few invigorative factors are calculated and analyzed to make sure the driving source. Combining these experiments and the theoretical analysis, it can be concluded that the impulse between the balls and return mechanism mainly causes the axial vibration of the precision ball screw mechanism.
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The autoclave is one of main preparation equipments of crystal preparation by hydrothermal method. The preparation temperature will seriously influence crystals quality and crystals size at high temperature, how to measure and control precisely the autoclave temperature can be of real significance. The characteristic of hysteresis, nonlinearity and difficulty to acquire the precise mathematical model existing in the temperature control of the autoclave was researched. The general PID controller adopted usually in the autoclave temperature control system is hard to improve temperature control performance. Based on the advantages of fuzzy controller that does not depend on the precise mathematical model and the stabilization of PID controller, single-chip computer integrated fuzzy PID control algorithm is adopted, and the temperature system is designed, the foundational working principle was discussed. The control system includes SCM (AT89C52), temperature sensor, A/D converter circuit and corresponding circuit and interface, can make the autoclave temperature measure and control accurately. The system hardware includes main circuit, thyristor drive circuit, audible and visual alarm circuit, watchdog circuit, clock circuit, keyboard and display circuit so on, which can achieve gathering, analyzing, comparing and controlling the autoclave temperature parameter. The program of control system includes the treatment and collection of temperature data, the dynamic display program, the fuzzy PID control system, the audible and visual alarm program, et al, and the system's main software, which includes initialization, key-press processing, input processing, display, and the fuzzy PID control program was analyzed. The results showed that the fuzzy PID control system makes the adjustment time of temperature decreased and the precision of temperature control improved, the quality and the crystals size of the preparation crystals can achieve the expect experiment results.
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Considering the potential clinical importance, the surface tension of ocular cornea under the action of normal physiological intraocular pressure is estimated, and a novel technique and a simple mechanical model for determining the tension are also presented in this paper. An instrument embodying mainly a CCD camera, an optical staff gauge and a manometer was developed primarily to measure both the surface point displacement and intraocular pressure of the cornea. A simple theoretical model was used to characterize the tensions of the ocular corneas under the action of the intraocular pressure. Due to the difficulty in obtaining the human cornea, laboratory experiments were carried out on porcine cornea specimens. The thickness of the specimens was accurately measured by optical coherence tomography. The matrix and collagen properties within the corneal tissue were manifested in the experiment. Experimental results on porcine corneas showed that the present technique is applicable to estimate the surface tension. In the normal physiological intraocular pressure range, both meridian and circumference tensions of the porcine corneas along the radial coordinate distribute are not uniform.
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The experimental apparatus of cool storage air conditioning system is designed and constructed. The characteristics of cool storage air-conditioning system are experimentally measured. The temperature variation of coolant in the evaporator is presented by experiments. The refrigerant temperature in the evaporator and the compressor discharge temperature are also shown. The cool storage experiments are carried out to measure the refrigeration capacity of the chiller in cool storage mode, and the cool storage capacity in the storage tank. The measured results show that the coolant temperature difference between inlet and outlet in the evaporator, the refrigerant evaporating temperature, discharging temperature of the compressor and the refrigeration capacity of the chiller during cool storage period can maintain stable. The cool storage capacity in the storage tank approximately increases in linearity with cool storage time. This indicates the cool storage air conditioning system can stably operate.
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The tolerance and fit of the hollow pieces and cylindrical pieces is an important primary standard in mechanical engineering. Current standards of tolerance and fit are based on the standard temperature 20°C. Thus the precision of the fit can be achieved only at 20°C. When the temperature changes, the diameter of a cylindrical piece and the inner diameter of a hollow piece changes, too. But the rule of thermal deformation of hollow pieces is different from the rule of cylindrical pieces. Studies on cylindrical pieces and hollow pieces in precision technology are going on and the mathematical models which are based on the approximate formula of Grueneisen have been applied. Based on this models, a theory of an optimal thermal fit is given. Designers should calculate the deviation value of hollow pieces and cylindrical pieces and adjust the tolerance of cylindrical pieces, in order to make sure, that when the temperature changes the clearance or the interference will not change. The rule of adjusting the tolerance of the cylindrical piece is described in detail. Experiments have been done to verify the optimal thermal fit theory. The deformation of the clearance of one plain bearing has been detected. The results of the experiment are presented. The uncertainty of the experimental results is about 1um. The results also show, that the clearance of the plain bearing is changing by the temperature and the value of the deformation is very close to the theoretical value. Thus, based on the experiment results, the theory of an optimal thermal fit is correct and should be used in mechanical engineering design.
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This paper presented a new approach of multi-axis force/moment measurement with non-axis coupling. A floating plate of rectangular hexahedron was completely floated with flotation method. The compound force and compound moment along coordinate axes X, Y, Z were obtained by measuring the changes of pressure differential in every group air nozzle pressure cavity. The air nozzles were placed symmetrically at the turning of the floating plate, and placed symmetrically in both sides of up and down, left and right, frond and back of the floating plate with 2 in a group. The formulas to calculate the combined force and moment in the sensor along the coordinate axes X, Y, and Z were presented, and the measurement precision of the air floating force-measuring system were studied and analyzed. A set of air-suspending six-axis force/ moment sensor was developed based on this research. After experimental verification of the result of theatrical research, the result showed: the force measurement method proposed by this paper can measure compound force and compound moment along coordinate axes X, Y, Z act on the floating plate and there is no coupling during the measurement and the measurement precision is higher than multi-axis sensor based on strain gauge
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In order to improve the accuracy and reliability on measuring grain loss, a research scheme of dynamic strain sensing using piezoelectric patches is put forward. Kinetic model of the grain and straw impacting sensor is analyzed by vibration theory of plates and shells, vibration model about sensitive element of the grain loss sensor is set up. The paper discusses the vibration shape and distribution of dynamic strain about low order modes of sensitive element in order to choose the sensing position of piezoelectric patches reasonably and construct piezoelectric sensor arrays. The grain and straw impacting sensor is proceeded on test bench. The analysis result is compared with the measure result obtained by the dynamic signal analyzer, the conclusion showed experiment results is well coincided with theory results. These are help to devise monitor for grain loss of combine and amend its parameters.
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Magnetorheological (MR) fluids is very promising intelligent materials and it can rapidly by changed from a liquid state
to a solid state in a magnetic field. Various industries are full of potential MR fluids applications, but current MR fluids
have the limitation that their yield stresses are not strong enough to meet some industrial requirements. The crucial
problem is how to enhance the yield stress of MR fluids. Electrorheological (ER) fluids, similar to MR fluids, can be
achieved high strength under squeeze mode, which proposed a method to achieve high-efficiency MR fluids by study of
shear after compression. The performance of MR fluids under squeeze-shear mode was inveatigated. Magnetic fields
being generated by two coils carrying different magnitudes of DC electrical current were applied on the MR fluids when
shearing after compression were carried out on a self-constructed test system. For each trail the current in the coil and the
compressive force were kept constant and the instantaneous yield stress was recorded. The relations of compression
stress versus compression strain, yield stress versus compression stress were studied under different applied currents. The
ploting of compressive stress against compressive strain has been observed to have three regions: the first and third
regions has a linear relationship and the second region has a zero increasing. The slope of the curve was found to be
larger when the applied current was larger. The SG MRF2035 without compression process has a yield stress about
53kPa at most even if increasing the applied current. But after compression, the yield stress increase with the increasing
compressive stress under the different applied currents. And some promising results are obtained, for example, when the
applied current is 2.5A and the compressive stress is 2.0MPa, the yield stress exceeds 1100kPa. It showed that the yield
stress of MR fluids after compression was much stronger than that of uncompressed MR fluids under the same applied
current. The enhanced yield stress of MR fluids can be utilized to design the MR clutch and brake for new structure and
will make MR fluids technology attractive for many applications.
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Hybrid-Electric Vehicle (HEV) which combined the electric motor with auxiliary power unit in a car driven is introduced. Characteristic of Hybrid-Electric Vehicle are different from the other vehicle, in the structure of Hybrid-Electric Vehicle, Integrated Starter Generator (ISG) electrical system can achieve high efficient performance of driving and generating electricity simultaneously. These systems adopt the sum torque through engine and generator, the motor connected transmission through engine. According to the requirements of different conditions, the torque of motor and transmission are compound in various forms to achieve optimal driving efficiency.This study developed a dynamometer to measure the relationship between locked torques with temperature rises of an Integrated Starter Generator motor used in electrical vehicles. The dynamometer adopted an AC motor to obtain the relationship between drive and load functions, which developed in this study can perform real-time measurements and storage of measured data obtained from the dynamometer. Experiments for measuring temperature rise of ISG motor were performed at three different conditions, namely 56 Nm locked rotor torques and 18.8A locked rotor current; 57.1Nm constant torque at 1050rpm; constant power with 14.3Nm and 4050rpm, respectively. Based on the theory of temperature rise, the temperature rises of motor are 14K, 33.1K, and 16.01K for the tested cases respectively. Measured results show that the performance of motor system is satisfied with the design.
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Measurement of Surface temperature in friction has became attracted extensive attention in modern industry, especially in manufacture. When the temperature in friction exceed a given value, the wear of parts will be accelerated. Some of the failed parts exhibited enormous thermal damage. Infrared thermography (ITG), sometimes called infrared(IR) imaging system, provides a quantification of the degradation in thermal performance as the machine are working and can be used to identify degrading parts for replacement before failures become immanent. A novel test technique is described in which surface temperatures were measured during tests of a rotating ring and a flat block which had a thermocouples embedded under its contact surface. The technique involves measurement of the radiation emitted by a side of the specimen immediately adjoining the ring-block contact region using a Charge Coupled Device (CCD) based ITG. By using an appropriate calibration procedure, measured radiation values are converted to temperatures. Novel aspects of the experimental technique are non-intrusive and full-field dynamic measurement at high spatial resolution and high sensitivity. This technique should facilitate study of thermal damage and multi-scale of thermal models in friction.
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Electrorheological fluid is a new type of "smart" fluid. In this paper, a new type Electrorheological fluid shock absorber is designed by putting electrorheological fluid in damper as a damp medium, a fuzzy control arithmetic for this electrorheologival fluid shock absorber is designed and a fuzzy control electrorheological fluid shock absorber system is designed. Validity of this design is made sure by experiment.
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A beads wire-based setup has been devised to satisfy the operation conditions of the underwater diamond wire saw. The mechanical model is established based on micro components when the string bead wire keeps stable cutting. The proper tension can be obtained according to the model under the current conditions, which provides a theoretical foundation for selecting the drive components of the annular frame design. The basic structure and the working principle of the tension sensor are introduced, and its performance index is analyzed, which meets the design demand. Tension detection test shows that the mechanical model is correct and the force feedback-based control of the radial feeding velocity is feasible, which is beneficial for working efficiency. The tension sensor is waterproof and shockproof which satisfies the demand for underwater inspection and control.
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To improve the hot rolled strip quality and operational stability, a novel tensionmeter based on lever principle is
developed which inspects latent waves and provides real references for flatness control in hot rolling process. The
contact-type tensionmeter including two segmented rolls can get the transverse tension distribution along the strip width.
Tension profile is deduced by different ratio of four force values from the embedded force sensors in tensionmeter
system. The compact mechanical structure ensures the tensionmeter's robust stability in hot rolling process, standard
hardware and software for data acquisition make the system easy to operate and maintain. The trails have proven
tensionmeter successful in improving both strip flatness and mill performance.
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A new self-measurement tonometer operated easily by the patient at home is presented in this paper. Based on the total
reflection principle, a cone prism was designed as a measuring probe and associated a photoelectric transducer acting as
applanation area detector converted the diminished quantity of light returned from applanation surface into one
electronic signal, and a dial acting as indicator converted the applanation force of the eye into intraocular pressure. A
central processing unit with the read-only memory stored the program instructions and the interrelated data. Calibration
experiments were carried out on a stimulated cornea clamped in a Perspex chamber connected to a hydraulic manometer
to obtain intraocular pressure at different levels. Preliminary clinical testing was carried out comparing the values
obtained with those of the Goldmann tonometer. Experimental results demonstrate that the present tonometer reading has
good agreement with that of the Goldmann tonometer, which can meet patient's needs.
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With the rapid development of semiconductor technology the demand for high resolution measuring system is evolving
at an ever-increasing pace. Microscope was initially used to detect the defect by connecting charge couple device (CCD)
as an auxiliary device. In general, for microscopic measurement human eyes are used to focus on the sample. The
adjustment depends on the operator's astute measurement ability, which affected the repeatability and accuracy of the
readings. There is a need of high-speed microscope auto focusing system for industrial applications. The present
investigation describes about the development of an autofocus system to carry out microscopic measurement more
precisely and accurately with less time.
The measurement system consists of a light source, two beam splitters, a movable sample stage and a Mirau's
interferometer, a photo-detector and 8051 microcontroller (MCU89C51). The light reflected from the sample surface
interferes with the light reflected from the reference and produce an interference pattern, which is imaged onto a CCD
array. In the setup developed for the autofocus one extra beam splitter is placed in the path of interfered beam to the
CCD. The beam splitter is placed at equal distances from the CCD and the photodetector. The focus position is
determined from the voltage developed in the photo-detector due to the movement of sample stage of the microscope.
The maximum voltage that obtained at the focus position is confirmed with the CCD image. Microcontroller is used to
stop the controller at the focus position immediately once the sample stage reaches it. Software is developed to locate the
maximum intensity position. The design may autofocus the interferometer within 4mm distance in 1 second. The auto-focusing
not only provides enhanced repeatability and accuracy of the results at a faster rate but also minimizes operator
involvement.
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This paper proposes a new multiple three-step color phase-shifting method for measuring 3D shape of objects. Firstly,
multiple color fringe patterns are designed and projected onto the object surface by a projector. Distorted fringe patterns
on the object surface are captured by a digital camera, and intensities of each pixel in the red, green and blue channels are
obtained from the captured color images. Phase values of all pixels are calculated by the phase-shifting method from the
obtained RGB intensities. Then, the phase-unwrapping technique is applied to convert phase values to the height of the
object surface. Finally, an integrated program is developed by combining phase-shifting process and phase-unwrapping
process. With the developed program, several measurement examples are investigated. From the measurement result, it
shows that better 3D shape results can be obtained from the proposed method.
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In industry non-contacting measurement systems are becoming more and more a necessity. Among non-contacting
techniques, optical method enjoys the virtues of being whole-field and non-contaminating and is getting more and more
acceptance by industries for characterization of microsystems. In this paper, a universal digital microscopic laser speckle
interferometer, which is called "Microferoscope" in the paper, is presented. The system is designed for measuring
microstructures and Micro-Electro-Mechanical Systems (MEMS) with rough surface. The method is based on laser
speckle interferometry incorporating a long distance microscope (LDM), a CCD-Camera and a high precision phase
shifting technique. In this paper, the theory and methodology of the universal digital laser Microferoscope are described.
A special software program "OPTIS" is developed for automatic data acquisition and evaluation. The usefulness of the
Microferoscope is demonstrated by examples of shape and displacement measurement for different samples.
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Digital Speckle Pattern Interferometry (DSPI), originally known as electronic speckle pattern interferometry (ESPI), is
an interferometry based method that allows whole field, non-contacting measurement of microscopic deformation, and
thus exact determination of strain distribution. This paper gives a review of the technique for three dimensional (3D)
deformation and strain measurement with constant and variable measuring sensitivity, and presents the recent
developments for absolute phase measurement. The theory and methodology for the developments are given.
Experimental results are used to demonstrate potentials and limitations for material characterization.
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This paper describes a technique for removing known repeated objects in multi-channel images. The motivation for
removing known objects is to highlight un-known objects of interest. An important criterion is to base the technique on
the use of image statistics and limit the use of operator supplied thresholds. The dependence on such thresholds may be
subjective and is likely to be a source of error.
The images used in this paper consist of transient eddy current data acquired from a multilayer aluminium alloy panel
which represents a typical airframe structure. The image intensity represents the change in received eddy current
magnetic field as a coil excited with a broadband waveform is scanned over the surface of the structure. The structure is
held together using fasteners which are shown on the image as repeated circular objects. The regions around the fastener
holes are of interest since this is where cracks in the structure may occur. Fastener objects have high variance in intensity
compared to cracks and thus tend to dominate the image making identification of neighbouring cracks difficult. The
removal of the known repeated objects (fasteners) highlights the un-known objects of interest (cracks). The data consists
of 12 channels representing depth through the structure. Principal Value Decomposition (PVD) is to be used to reduce
the number of channels that represent most of the information.
The technique to remove known repeated objects involves computing the polar 2D FFT image frames. A circular object
such as a fastener will produce a 2D Bessel function in frequency space. Since the object is circularly symmetric in
frequency space the polar transform may be collapsed onto one axis representing radius. Zero crossings on this axis
provide information on the inner and outer radius of the object. Larger frames produce grater noise from the many
features present. Sub-frames can be used so that the algorithm will converge and the object radii may be measured.
Correlation by multiplication in the frequency domain is used to determine the centre position of each fastener in the
image with maximum signal to noise ratio. A function based on the physical process that creates the image of each
fastener object is applied to the image to remove them. Two alternative techniques are presented.
PVD can significantly reduce the number of channels that contain most of the information. The results show that the
centre can be located and radii of each fastener can be measured, and the known image features removed to show subtle
characteristics of the image not normally visible.
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Optical microstructures are small scale topologies which are generally classified as grooves, pyramids, microlens arrays,
lenticulations, echells, etc. They are widely used in advanced optics applications. Currently, there is lack of methods for
the characterization of surface quality for optical microstructures with sub-micromenter form accuracy and surface finish
in the nanometer range. This paper presents a Surface Intrinsic Feature Based Method (SIFBM) which makes use of
surface intrinsic properties such as curvatures, normal vectors, torsion, intrinsic frames, etc. They are mapped as special
images and image processing techniques are then employed to conduct image registration or correspondences searching
by some algorithms such as correlation functions. The surface matching is optimized by corresponding vectors
deviations. In the present study, a prototype surface characterization system has been built based on the SIFBM. Primary
experimental work has been conducted to validate the proposed method. The results demonstrate that the SIFBM has
potential advantages over existing methods.
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In this paper we present a flexible real time image processing architecture based on filed programmable gate arrays
(FPGA) and digital signal processors(DSP), to accelerate the common image applications. Mainly the design and
implementation of a programmable MAC was introduced and test results are finally given.
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To reduce the theoretical measurement error caused by a high acceleration in fast ultra-precision laser heterodyne
interferometry, a model is proposed. This model is about how the displacement measurement precision is affected by the
acceleration of the measuring prism in a multi-pass heterodyne interferometer. In the model, the integrals of Nv2/c and
Nax/c are added on the basis of a conventional heterodyne interferometer model. It shows, that in the conventional model
the measurement error increases with increasing measurement acceleration. An error compensation method is proposed,
which uses numerical integration to obtain the real time speed and acceleration. Corrected data can be acquired by using
an error correction formula. Simulation results show, that the measurement error can be reduced by this method from
10nm to 0.03nm when the displacement of the measuring prism is 500mm and the uniform acceleration of the measuring
prism of a double pass interferometer equals g.
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A 3D measurement system of micro organization based on two-ray-path scanning was developed. This article introduced
the principle and setup of the system. Experiments were carried out to measure the three-dimensional shape of some
micro organizations. The results showed that this system could measure accurately not only the thickness of each part of
the micro organization, but also can show its three-dimensional shape quickly and accurately. The vertical error was less
than 2 μm. This system has advantages of compact structure, accurate detection, and high reliability, and can realize
nondestructive measurement of micro organization.
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The miniaturization of the optical remote sensors is needed for the development of remote sensing. According to the
available techniques several means of miniaturization are presented. From the view of the imager, combining the TDI
CCD with the technique of sub-pixel imaging is advantageous to get high resolution and high F numbers. From the
view of the optical system, the aspheric and reflective optical system is advantageous in miniaturization and lightweight
of system. Moreover two new types of optical elements are presented, which are binary optical element and fiber optic
taper. It is analysed and shown that they can be used to miniaturize optical system. Finally, some plans of miniaturization
are proposed.
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This study develops a novel optical encoder based on two commercially available DVD optical pick-up heads and a
single reflective grating with a sinusoidal surface profile. In the proposed configuration, the laser beams output from the
two pick-up heads are passed through a beam splitter and an objective lens and are focused on the surface of the grating.
By adjusting the distance of the two DVD pick-up heads from the grating and carefully controlling their angles of
rotation in the X-Y plane, the distance between the two focus spots on the grating surface is regulated such that it equals
one quarter of the grating pitch. When the grating is displaced, the laser spots trace the surface of the grating, causing a
shift in the position of the reflected light beams on the four-quadrant photodiodes within the DVD pick-up heads. The
resulting quadrature sinusoidal signals output by the pick-up heads are processed to generate two square-wave signals
with a 90° phase difference and a triangular waveform, respectively. By counting the zero crossings of the square waves
and interpolating the triangular waveform, both the direction and the value of the grating displacement can be derived.
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This study develops a low-cost, highly-sensitive, three-dimensional optical accelerometer in which the seismic mass
comprises four rectangular blocks attached to the ends of a cross-form aluminum structure suspended on four thin steel
strips. It is shown through ANSYS finite element (FE) simulations that the thin-strip suspension system restricts the
seismic mass to just three degrees of motional freedom, namely one translational motion in the vertical direction and two
rotational motions. These displacements are detected using two novel optical sensors based on commercial DVD optical
pick-up heads. When the accelerometer experiences a vibrational force, the relative motion between the seismic mass
and the base results in a change in the distribution of the reflected light spots on the surfaces of the four-quadrant
photodetectors within the two pick-up heads. The resulting changes in the output voltage signals of the two pick-up
heads are then used to calculate the corresponding acceleration of the base. The experimental results indicate that the
resonance frequencies of the accelerometer in the X, Y and Z-axis directions are 130.51 Hz, 130.63 Hz and 130.90 Hz,
respectively. Meanwhile, the sensitivities of the accelerometer in the X, Y and Z-axis directions are 21.28 V/g, 22.94 V/g
and 22.75 V/g, respectively.
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The 3-D foot-shape measurement system based on laser-line-scanning principle and the model of the measurement
system were presented. Errors caused by nonlinearity of CCD cameras and caused by installation can be eliminated by
using the global calibration method for CCD cameras, which based on nonlinear coordinate mapping function and the
optimized method. A local foot coordinate system is defined with the Pternion and the Acropodion extracted from the
boundaries of foot projections. The characteristic points can thus be located and foot parameters be extracted
automatically by the local foot coordinate system and the related sections. Foot measurements for about 200 participants
were conducted and the measurement results for male and female participants were presented. 3-D foot coordinates and
parameters measurement makes it possible to realize custom-made shoe-making and shows great prosperity in shoe
design, foot orthopaedic treatment, shoe size standardization, and establishment of a feet database for consumers.
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The automatic quality inspection technique and system for the steel tape has been expounded in this paper and the
technique of downward distribution machine vision measurement and the application of automatic inspection to the lines
quality of steel tape have been discussed. The practical use proved that the accuracy of the equipment is more accurate
than 25μm by using the technique of machine vision measurement, which can fully meet with the requirement of the
quality inspection for the Production enterprises.
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The medical ultrasonic imaging technology has become an important assistant means of diagnoses and therapy for
doctor, with the good qualities, like safety, fast speed, real time,low price and wide application range. But the ultrasonic
imaging "speckle" noise make it difficulties to distinguish between normal tissue and pathological tissue. According to
the character of noise in the medical ultrasonic image, in this paper an new method combine mathematics morphology
with adaptive filtering is proposed after study noise and some filters. The method is first we adopt adaptive median filter
preprocess the contaminated image, then apply mathematics morphological way to filter again and to enhance image
contrast. Finally we compare the new method with others. The experimental result prove that this method can effectively
improve imaging quality.
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This paper is focused on the analysis of wood surface inspection to wood machining industries. A defect detection approach for texture image, which uses an efficient image restoration scheme in wavelet domain, is presented. First, the texture image is decomposed by using wavelet base function in terms of the optimum decomposition levels, and then the restoration image can be reconstructed by properly selecting the smooth subimage or the detail subimages at best resolution levels. The homogeneous texture pattern can be effectively removed and only local defects are preserved in the restored image. A subband selection procedure is developed to automatically determine the best reconstruction parameters based on the energy distribution of wavelet coefficients. Then binarized image is received after image segmentation, At last the methods of image post-processing mathematical morphology were used in segmentation image. Experiments demonstrate the validity of the method, and show the potential possibility of real-time processing in an on-line wood surface inspection.
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Techniques of digital close-range photogrammetry were successfully used in the high-low temperature deformation
measurement of satellite antenna's reflector in thremal vacuum in this paper, and problems of traditional measuring
methods that can not be conducted in the vacuum environment were overcame. Excitingly, the measuring precision of
the new method with two 8-megapixel digital cameras contained in custom-made pressurized canisters could reach
0.1mm, and could satisfy the designing requirements of products.
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For the deformation detection of work pieces in vibration conditions, a dynamic measurement system based on binocular
stereo vision metrology is presented. Key techniques involved in this system are studied. It is proved that the system can
satisfy the accuracy requirements of the industrial manufacture.
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Distortion error models, which represent the influences of digital cameras' distortion, such as radial distortion, eccentric
distortion and affine distortion in image planes, to image pixels, are thoroughly investigated in this paper. Digital
camera's inner parameters were calibrated using test-range method, and some instructive conclusions were obtained
through a series of experiments.
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In this paper, a new method for measuring the working angle deviation of the polyhedron is presented. With this method,
two polyhedrons can be measured at the same time with only one autocollimator by comparing and measuring the
corresponding surfaces of the two polyhedrons mutually, and the measuring results of the two polyhedrons have the
same measurement accuracy. This paper introduces the measuring principle, derives the formula for calculating the
working angle deviation, provides the standard deviation of the measuring results and gives a measurement instance.
With the advantages of using only one autocollimator and having the high measuring accuracy, this method is suitable
not only for measuring the polyhedron but also for measuring the laser scanning mirror.
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The on-line float glass thickness measurement system is based on digital image technology. LCCD is employed to
capture a set of images of the delivering glass ribbon in real-time, and accordingly the measured thickness computation
is carried out through the center orientated images. A new method for extracting the central line of the glass thickness
image has been put forward for the blurring edge and distortion of noise problems occurred in the thickness image.
Firstly, Canny algorithm is employed to detect the light-stripe edge precisely. Secondly, an improved barycenter method
is employed to acquire each stripe image center accurately within the edge region. Comparing to other center orientation
algorithms, the improved barycenter method can remove the image noise more effectively. The experiment results
indicate that the extraction precision can be improved to 0.1% and the relative error of the thin glass plates is less than
0.14%, therefore it provides a thickness measurement system in high precision and high stability.
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This paper presents a new image mosaic algorithm based on ratio template matching by introducing gradient factor to
enhance the robustness of the template. It corrects the exposure difference in the stitching image, and applies the fade-in
and fade-out method to make the stitched image seamless and smooth. Experimental results testify that this algorithm
improves the reliability and increases the speed of matching and is easier to operate.
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Shack-Hartamn(S-H) wavefront sensor is widely used in adaptive optics systems. Its detecting centroid error is one of
the main error sources in adaptive optical systems. There are many factors affecting the detecting accuracy such as
readout noise and background level of CCD camera, number of detecting pixels, and photon shot noise. Because of these
noises when it works at daytime, the small target which is detected can not be distinguished. Therefore, the centroid
precision is greatly descended. The traditional method is subtracting a threshold. But this method have many
disadvantages novel image processing method is proposed to improve the centroid detecting precision when
Shack-Hartamnn working at daylight. The morphologic and the fuzzy enhancement are applied in this image processing
algorithm before subtracting the threshold. The principle of these algorithms are described in detail; the computer
simulation results are also presented. It is shown that this method is more useful for Shack-Hartamnn wavefront sensor to
reduce its centroid error when it works at daytime than only subtracting the threshold.
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This paper analyzes the effects of birefringences of acousto-optical crystals on the diffraction angle of the o and e beam,
deduces the exact tuning relationship between the two diffracted polarized beams in large-aperture and non-collinear
AOTFs, and explores the influence of birefringences on the wavelengths difference of the two diffracted beams, Δλ,
acoustical angle θa, and relation between the external angle of incidence θi and the ultrasonic frequency f. Theoretical
calculations show, that the difference of the internal angles of incidence of the two diffracted beams, θie-θio, varies in
the range of 0°~1.5° in accordance with the change of the external angle of incidence, and that the maximum
wavelengths difference of the diffracted beams of order±1 can be as much as 80 nm. The direction θa of the acoustical
vector is approximately 108.8°, which satisfies the conditions of momentum match and wavelengths difference to be
zero for diffracted beams of order±1, but the internal angle of incidence varies about θie=55.6°, and the range can reach
1.4°. The obtained theoretical results are verified by experiments to measure the diffracted beams of order ±1 of
mid-infrared AOTF.
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The coded target design is geometrically constructed only of circular elements, i.e. circular marked point, circular reference point and circular coding points. Marked point is surrounded by a reference point and some coding points with bit position at equally spaced angular interval. The circular radius of the reference point is bigger than that of coding points. Marked point represents the point location itself. Reference point provides a start bit for coding points. Coding points provide robust identification of the target anti-clockwise, starting from reference point. The design method provides a sufficient number of identification points by introducing a reference point. Finally, the application of the proposed coded targets to 3D data registration is described. Experimental results show that the developed coded targets are independent to location, rotation and change of scale, and the marked points are easily and accurately detected.
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In this paper, we try to present an improved effective segmentation algorithm for range images. Our work was
partially motivated by the desire to overcome the drawbacks inherent to most of the algorithms known from the literature,
which edge detection is mostly criticized for its tendency to produce non-connected boundaries and region-based
techniques suffer from a number of problems, such as complex control structures, the selection of initial regions, the
actual number of clusters and an over segmentation. It provides edge strength measures that have a straightforward
geometric interpretation and supports a classification of edge points into several subtypes. We consider analysis of
geometric properties of edge points as the key to solve the problem of image segmentation and propose a geometric
model to deduce algorithm template. And we adopt morphological method to boundaries obtained in the edge map as to
save much time. Experiments were performed in a popular range image database and the results were compared to five
other traditional range image segmentation algorithms, demonstrating that it could achieve more edge information of the
object and overcome the shortcoming of non-connected boundaries to a certain extent. It is proved to be correct and
effective.
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During the optical fiber winding, larger or smaller lag angle would lead to superposition or spacing winding which
would seriously influence the quality and stability of optical fiber bobbin. So the precise measurement and control of the
lag angle was a key technique in optical fiber precise winding.
Based on computer digital image technology, a new measurement scheme was proposed. According to the measurement
requests, hardware of the image collection system and the image processing system were designed. By means of the
image collection system and the designed program, the lag angle image was successfully collected. The resolution and
efficiency of the Hough transform and the concentric cirque seeking method for image recognition were tested. The
results showed that the efficiency of the Hough transform and the concentric cirque seeking method is low. So an
improved Hough transform method was developed and the efficiency was numerically tested. The results showed that
the improved Hough transform method was much more efficient and 0.1° measurement error of the lag angle can be
achieved.
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Magnetic bearings are typical electromechanical systems of high performance. Current-displacement-force relationship between stator and rotor is an important research topic of magnetic bearings. The critical issue is to realize magnetic force online dynamic measurement. This paper presents a novel method on magnetic force measurement of magnetic bearings with optical fibre bragg gratings (FBG), which realizes a non-contact and online force measurement with simple configuration, good noise immunity even when the rotor is running. A novel micro force transducer is designed and fabricated, which is mounted within the stator magnetic pole. To obtain current-displacement-force relationship a FBG based magnetic force measurement test rig is setup to simulate magnetic bearing working states as the stator coils currents, air gap between stator and rotor, rotor speed is adjustable. Magnetic force is measured under three classifications of test conditions and test results are presented. The measurement data show good consistency with the theory analysis and calculation, which means that the FBG based magnetic force measurement is available and of good accuracy.
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The photoelectric detection system of clutch driven plate is proposed in this paper which used two CCD cameras for
detecting the riveting quality and nonparallelism of the clutch driven plate with the computer system for controlling and
processing the imaging data. It is obtained the overall structure of the photoelectric detection system, given design
parameters of optical system, presented the image processing algorithm. The clutch plate size by detected is
160mm-430mm, the detection resolution is given 0.1 mm. The experiments is proved that the detection rate of riveting
quality and nonparallelism detection can be achieved 100% .The system of structure is reasonably simple, low cost, high
reliability, and it is suitable for the automatic production installation.
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The image match for face recognition is studied. Variances of sequences in relation to facial images are computed, and the weights used for computation of similarity are obtained by a certain transform between the variance and weight. The weights based on the better theoretical derivation have good stability. And the variance similarity calculated by these weights is of great adaptability, weakening the impact of interferences including the noise and deformation of images. Wavelet transform is a very good method about image compression, by which redundancies of the image are removed and original features of the image are reserved. Whereas pixels of a facial image are usually larger, wavelet transform is used to extract the low-frequency images. And then each facial variance similarity is computed based on the matrix of the low-frequency image. Finally, the image match is carried out for face recognition. The experiments show that the proposed method has the characteristics of simple realization, rapid recognition speed and high recognition rate.
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A new method of guideless coordinate measurement technology based on coding target and vision measurement is proposed. Holographic characteristics of numeric coding target are adopted to obtain target pose and target probe position by any section of bar code on the coding target. 3D coordinates of measuring points can be obtained by coordinate transform. The contradiction between high resolution and large visual field of image sensor is resolved. The measurement system is mainly composed of a coding target, CCD cameras and assistant measuring cell. Analytic model is established according to the spatial geometric relation. A new method and system model for large objects measurement accurately is gained in the field of guideless coordinate measurement. Theoretical analysis and essential experiment prove that the method and system structure is characterized by simple structure and wide measurement range and it can be used in coordinate measurement.
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A method of determining 3D position based on vanishing-point theorem in perspective picture was developed and tested. Proposed an iterative method that using fastest descent arithmetic to calculate the non-linear parameter and implemented the non-linear calibration to system. In order to get the accurate position of vanishing-point, a sub-pixel self-adapting recursion arithmetic was presented, that makes the originality numeric image defined in integral pixel position obtain continuous mapping in rational number field. A experiment of determination 3D position with a cub showed, the position precision can effectively improved by using the sub-pixel self-adapt recursion arithmetic in the non-linear calibration method based on vanishing-point, and part of a plaster module of a person's head also been measured with this method and the vivid result of reconstruction shows the measurement can be used in free curved surface.
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As one kind of anamorphic laser triangulation displacement sensor, rotationally symmetric triangulation (RST) has a lot of advantages comparing to traditional ones. Laser speckle and CCD noise are also two fundamental uncertainty factors in this kind of sensors. The analytic expression of centroid uncertainty limit from speckle in RST sensor is derived in this paper. It is shown that the uncertainty limit in RST, and also in anamorphic triangulation, is dependent on the solid angle subtended by entrance pupil as seen from the illuminated laser spot, as well as the laser wavelength. Because it's very easy to get a bigger entrance pupil in RST than in traditional laser triangulation, the centroid uncertainty limit from speckle in RST is much smaller. The CCD noise in RST and anamorphic laser triangulation is dependent on photon shot noise, dark current, photo-response non-uniformity, and cross talk. The centroid uncertainty limit from CCD noise in this case is described by 1-D Cramer-Rao lower bound, and is also smaller than in traditional triangulation. By using more CCD pixels, RST is less sensitive to noise level. Results of simulation and experiments verify the result of deriving.
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In order to improve the measurement speed of a large scale multi-sensor visual measurement system, in this paper a novel high speed measurement system based on 1394 bus is introduced. The implementation of 1394 bus in the system make both the image data from the visual sensors and the controlling signals can share the same high speed 1394 bus. This can overcome some drawbacks, such that the data and controlling signals transmit in data bus and controlling bus separately, which are often used in traditional large scale multi-sensor visual measurement systems. Another merit of using 1394 bus in the system is to make the system more compact, reliable and maintainable. In the system, the parallel image grabbing and processing units are also adopted. Consequently, the measurement time of the system can be reduced dramatically for real-time measurement situations. It is also worth noting that a flash programmable memory is used in each image processing unit for facilitating the measurement system to measure different objects.
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Because of the improvement of carrying capability and speed, the railway train has a higher and higher demand for the rail's straightness in high speed and heavy load. The ideal long-distance railway should be regarded as an ideal circular arc guide-rail. Several data transferring sites along the ideal datum line while using linear datum to demarcate the railway are introduced, and adopting non-diffraction laser beam as collimating datum between each site is also used. PSD is used as photoelectric receiving detector, and a non- diffraction beam is used to improve the collimating precision.
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Temperature laser- induced- fluorescence (LIF) 2-D imaging measurements using a new multi-spectral detection strategy are reported for high pressure flames in high-speed diesel engine. Schematic of the experimental set-up is outlined and the experimental data on the diesel engine is summarized. Experiment injection system is a third generation Bosch high-pressure common rail featuring a maximum pressure of 160 MPa. The injector is equipped with a six-hole nozzle, where each hole has a diameter of 0.124 mm. and slightly offset (by 1.0 mm) to the center of the cylinder axis to allow a better cooling of the narrow bridge between the exhaust valves. The measurement system includes a blower, which supplied the intake flow rate, and a prototype single-valve direct injection diesel engine head modified to lay down the swirled-type injector. 14-bit digital CCD cameras are employed to achieve a greater level of accuracy in comparison to the results of previous measurements. The temperature field spatial distributions in the cylinder for different crank angle degrees are carried out in a single direct-injection diesel engine.
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In this paper, a testing and analyzing system for volt-current and optic-power characteristics of semiconductor laser
diodes (LDs) based on virtual instrumentation is designed and developed by using PCI-6014 DAQ. The design methods
of hardware circuit and software for NI-DAQ are introduced. Some protective methods to LDs, such as driving current
limit, avoiding electrical pulse and delay start-up etc. problems, are completely finished by the software, instead of
mostly considering the resolvent on hardware circuits. The detailed tested data for the function and performance of the
system is presented, and the every tested data of LDs indicates that the whole system is of excellent performance and
stability to obtain the parameters of LDs.
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According to the particularities of Cone-Beam Computed Tomography (CBCT) slice images, such as much noise information, low contrast, and variational region gray distribution, a defect segmentation algorithm is proposed, in which the topological regions of the whole image are segmented before segmenting the defects in each topological regions. Firstly, the gray topological structures in the slice image are obtained by image denoising pretreatment with mixture filter, iterative multi-threshold segmentation for the whole image, and extracting topological connective regions from the segmentation result. Then, region growing algorithm is applied into the defect detection in each topological structure. By this way, the low contrast segmentation in the whole image is translated into the higher contrast segmentation in the local topological structures to improving the precision and accuracy of the defect segmentation. Finally, the all extracted defects are identified by removing the "false defects" to obtain the real defects. This algorithm is used to processing the CBCT slice image of wax model of hollow turbine blade. The experiment result shows that the defects in the slice image are extracted effectively. The algorithm can be applied to the image segmentation processing which has similar characteristics with CBCT slice images.
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The paper firstly discusses the derivation of interference fringes and FFT method that is a conventional method for measuring fringes with equal spacing. And then, a new method for measuring the interference line fringes is presented. On the basis of Hough transform and digital image processing technology, this method accomplishes fringes image preprocessing (i.e., fringes skeletonizing) and fringes spacing measurement. It has been shown, with both theoretical analysis and experimental measurements, that this method is a universal method for fringes measurement and has more remarkable advantage than the FFT method because of the application of the former not being limited by some regulations such as equidistant fringes and sampling length, and so on. In addition, it also holds a good noise rejection capability and great reliability.
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To overcome the difficulty in the non-contact angle measurement especially for large-scaled workpieces, the paper presents a new angle measurement method based on Hough transform. The realization process of the method consists of workpiece image acquisition & preprocessing and angle measurement. With the preprocessing one can obtain an ideal binarized edge image of the workpiece image. The angle measurement is then carried out by employing the classical Hough transform. Except the discussion of measurement principle, both practical examples and simulated experiments are introduced to demonstrate the performance of the method proposed in the paper. The experiment results indicate that this method can be applied to measure the workpiece angle under many occasions and can achieve the aim of the non-contact angle measurement. At the same time, it does still possess great advantages in terms of reliability and noise rejection capability.
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In an encoding period of Hadamard Transform Optics (HTO), the instable effect of the source (or signals) on the image or spectrum is studied to decrease aberration of the image or spectrum. The effect is due to the light intensity(or signals) fluctuation coupling to intermediate measurement values in the encoding period of HTO. The sensitivity of the effect to the frequency and amplitude of the fluctuation is also shown. The study reveals that the sensitivity has accumulative and cyclic nature, and it is an intrinsic characteristic of HTO. It limits the instability and inhomogeneity levels of the light source(or instability level of signals). The intrinsic characteristic can also be used to improve and analyze the image and spectrum which is given by HTO.
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The stochastic parallel gradient descent (SPGD) algorithm is a promising control algorithm for adaptive optics (AO), which is independent of wave-front sensor and is used to correct the wavefront distortion by optimizing the system performance metric directly. In this paper an adaptive optics experiment system with 32 control channels is set up and the static phase-distortion correction experiment is carried out to research the efficiency and performance of SPGD algorithm. The quadratic sum of intensity and the mean radius are used as the system performance metric respectively in the experiment. The experiments results demonstrate that the adaptive optics using SPGD algorithm can correct the static phase-distortion successfully. The mean radius is more sensitive to the small perturbation voltage than quadratic sum of intensity. When the mean radius is used as the system performance metric at the beginning of the correction process, and then the encircled energy is used in succession, both the convergence rate and the stability are improved.
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In solar adaptive optical system, absolute difference algorithm and correlation coefficients algorithm are widely used in Shack-Hartmann wave-front detection of the extended object. A Shack-Hartmann wave-front processor based on absolute difference algorithm is described in this paper. It is characterized by parallel and systolic architecture. The peak operation speed is over 23,000,000,000/s and calculation latency is 120us in a system with 6x6 sub-aperture array, which is 32x32 pixel in size each and for which the reference image is 16x16 pixel. Using this processor, frame rate of the CCD (Charge Coupled Device) can be up to 1000 Hz, and with smaller sub-aperture size, the frame rate can be even higher. Built in a single FPGA (Field Programmable Gate Array), it is low-cost, compact and easy to be modified.
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This paper introduces a new high accuracy measuring method for dimension measurement in industry and a new concept of measurement of image contrast. The new point is to use algorithm of subpixel based on spatial moments and technology of image contrast estimate the exact location of edge within a pixel. The non-linear filter, edge location and subpixel applied in measurement are discussed. More important with the spatial moment and the subdivision technology the accuracy of edge location is improved lots. Real time industrial measure results demonstrates the super advantage of high accuracy dimensional measurement technology be maximum bias within 0.01 mm. Conclusion and discussion are given finally.
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Structured light system using a digital micro-mirror device (DMD) projector is increasingly used for a 3-D shape measurement because of its digital nature. When the DMD projector is used in phase measuring profilometer (PMP), the precision of profile measurement will increase with the precision of phase-shift increasing. But the non-sinusoidal nature of the projected fringe patterns causes significant phase measurement error and consequent shape measurement error. In the reality, we find that the non-sinusoidal effect is never caused by only one factor. A real measurement shows that it is a combination of influences by all effects, e.g., the object independent irradiance function, the nonlinear gamma curve of the projector, the spatio-temporal characteristic of DMD, etc. In view of the above factors, a comprehensive compensation method is proposed to compensate these factors for the 3D measurement. If the compensation is well accomplished, the measurement error can be reduced average 6 times. The experiment is carried out to demonstrate the validity of this technique.
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An effective computer aided alignment (CAA) scheme based on the singular value decomposition (SVD) of sensitivity matrix is used in the alignment of a set of 20X Schwarzschild projection optics. Alignment simulation is conducted by ray tracing software CODE V to verify the convergence of CAA method within the calculated tolerance limit. The result shows that, with the misalignment value calculated by CAA, fine alignment could be achieved after only one adjustment step. Alignment experiment is also performed according to the CAA scheme. After fine alignment, the measured wavefront error (WFE) is 18nm in rms, which is consistent with the CODE V simulation result in ideal alignment status.
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This paper (713043) was removed from the SPIE Digital Library on 13 April 2010 due to discovery of plagiarism. As stated in the SPIE Guidelines for Professional Conduct and Publishing Ethics, SPIE defines plagiarism as the reuse of someone else's prior ideas, processes, results, or words without explicit attribution of the original author and source, or falsely representing someone else's work as one's own. SPIE considers plagiarism in any form, at any level, to be unacceptable and a serious breach of professional conduct. It is SPIE policy to remove such papers and to take appropriate corrective or disciplinary action against the offending author(s).
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To solve the problems appeared in the research of the clamping mechanism of Bomb-Disposed Robot manipulator, weight estimation and clamping width estimation in the image of the suspicious explosive object has been worked out by using binocular stereo vision system. We obtain the estimation method of the suspicious explosive object's surface roughness according to row monochromatic gray scale difference of pre-gripping object's image matrix. We also construct current servo control system needed by completed flexible control strategy of Bomb-Disposed Robot manipulator; realizing command routing between the host control PC and imbedded target PC with the aid of data radio. The solution is proved to be feasible by our experiment.
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The analysis of metal fracture surface could ascertain the condition and give some valuable clue to the research of the component's failure by observing and analyzing the fracture surface. A method of the image processing of the metal fracture surface for eliminating the noise, detecting the edges of the image and classification of the material by obtaining the images' character based on the mathematical morphology will be described. The methods of the character description have unchangeable characteristic for rotating, zooming or moving the images. Then the images can be classified by using artificial neural network. 72 images of stainless steel, brass and red copper processed through corrosion fatigue fracture and equalized dimple fracture are used as a study samples and 54 images are used as a test samples. The data of the experiment explains the feasibility of the method and analyzes the cause of the error.
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The integrated circuit (IC) design technology has made the chip density continue to increase. The high performance chips have a high sensitivity to the slightest defects in manufacturing procedure, therefore the defect detection is needed in order to ensure the performances of chip and semiconductor device. For the defects on a wafer, a detection method using image segmentation is presented in this paper. The method performs the segmentation of wafer image by selecting the threshold values. The optimal thresholds are computed by the technique based on cultural algorithm. The designs of population space, the belief space, and communication protocol in the cultural algorithm, are given in detail. An integration of genetic algorithm and simulated annealing is used to produce the new individuals in the population space. The experimental results show that the defect detection method proposed in this paper can obtain the features of defects effectively, the better image about the defect on a wafer can be obtained if the differential chart of the original image and the intact image of wafer is computed in advance.
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In the industrial detection, the three dimensional of the products are needed measuring usually, so the products can be known eligible or not. The measurement is needed both the high precision and fast speed. In the article, the smooth part of the mouse is taken as the measure object. Grating projected method is used to reconstruct the three dimensional of it. In the experiment, the intersect principle of fourier transform profilometry is used. The electronical grating is projected on the mouse, the deformed grating is collected in the Charge Coupled Device (CCD). And the deformed grating without the mouse is also collected. The fourier transform is used to process the image. In the traditional fourier transform profilometry, the phase is worked out as follows: After fourier transform, the zero frequency spectra is shifted to the origin of frequency, then filter the needed signal. Then the needed signal is shifted to the center of frequency, and then the zero frequency is shifted to both sides. After inverse fourier transform, the imaginary part is getting, so the phase is getting. But it has a difficult in the traditional method, because of three times frequency shift, and the center frequency is difficult to confirm, the frequency shift can't be correct and the filter can't be designed correctly. The error can be transferred, so the result of filter is not well, it has bad effect to the later measurement. The result of measurement is not well certainly. In order to conquer the difficult, after the fourier transform, filtering the needed signal without frequency shifting, then inverse fourier transform. So the phase of mouse relational with the frequency and coordinate is getting. The phase of the reference surface is getting by the same method. Then the difference phase is getting. At last, according to the relation of difference phase and the height in the grating projected method, the three dimensional profilometry of the mouse is reconstructed. The method is more simply and higher precision without three times frequency shift. The three dimensional profilometry reconstruct is realized by two images. It takes 0.3 second to reconstruct the three dimensional profilometry. The precision is 0.5mm. The result indicates that the method suits the smooth object with fast speed and high precision. It is fit for the needed in the practical measurement.
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This paper presents a new method of measuring guide straightness error based on a linear relationship between polarized angle and lateral offset position displacement. A peculiar polarized beam, whose polarization angles are distributed linearly as lateral direction coordinates, is modulated by a designed active optical modulator based on polarization interference principle. The polarization angles of the beam are detected by an optical detecting component and an optical slit, which move correspondingly with the existed guide straightness error. Experiments are conducted to validate the method and the results show that the correlation coefficients R2 of the linear fitting curves between the polarized angle and offset displacement is above 0.9996 with the standard deviation of the repeatability within 1μm, which coincides with the theoretical analysis. The range of measuring straightness error is above 0.5mm with the resolution level at submicron grade. This method minimizes the effects caused by the variation of light intensity and possesses the advantages of convenience, high reliability and accuracy. It is able to be applied in the actual industrial applications.
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In digital photogrammetry and computer vision, for high accuracy, several images obtained from the different positions are required. The targets in the images are recognized and matched by the computer automatically. This paper present a new method based on the bundle adjustment for the targets matching. It transforms the problem solving space from the 2D images into the 3D world space. With a few targets matched manually, the projection lights can be reconstructed with the interior and exterior parameters provided by the bundle adjustment. More targets are matched based on the correlations of the reconstructed lights. With the new matched targets, the bundle adjustment runs again and the parameters are revised. Repeat these steps until all targets are matched. Experimental results are shown to testify its feasibility and validity. In the experiments, the matching rate of the new method can reach 100%, while the missing rate is very low.
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Phase-shifting methods for 3-D shape measurement have long been employed in optical metrology for their speed and accuracy. For real-time, accurate, 3-D shape measurement, a four-step phase-shifting algorithm which has the advantage of its symmetry is a good choice; however, its measurement error is sensitive to any fringe image errors caused by various sources such as motion blur. To alleviate this problem, a fast two-plus-one phase-shifting algorithm is proposed in this paper. This kind of technology will benefit many applications such as medical imaging, gaming, animation, computer vision, computer graphics, etc.
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The application of machine vision measurement system is developing rapidly in industry for its non-contact, high speed, and automation characteristics. However, there are nonlinear distortions in the images which are vital to measuring precision, for the object dimensions are determined by the image properties. People are interested in this problem and put forward some physical model based correction methods which are widely applied in engineering. However, these methods are difficult to be realized in workshop for the images are non-repetitive interfered by the coupled dynamic factors, which means the real imaging is a stochastic process. A new nonlinear distortion correction method based on a VNAR model (Volterra series based nonlinear auto-regressive time series model) is proposed to describe the distorted image edge series. The model parameter vectors are achieved by the laws of data. The distortion-free edges are obtained after model filtering and the image dimensions are transformed to measuring dimensions. Experimental results show that the method is reliable and can be applied to engineering.
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This paper presents a new method for automatically analyzing the digital image of Vickers hardness indentation called Region-Point detection algorithm. This method effectively overcomes the error of vertex detection due to curving indentation edges. In the Region-Detection, to obtain four small regions where the four vertexes locate, Sobel Operator is implemented to extract the edge points and Thick-line Hough Transform is utilized to fit the edge lines, then the four regions are selected according to the four intersection points of the thick lines. In the Point-Detection, to get the vertex's accurate position in every small region, Thick-line Hough Transform is used again to select useful edge points and Last Square Method is utilized to accurately fit lines. The interception point of the two lines in every region is the vertex of indentation. Then the length of the diagonal and the Vickers hardness could be calculated. Experiments show that the measured values agreed well with the standard values
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This paper describes a very simple and reliable procedure for testing packaging reliability of integrated circuits (IC) chips with a single optical experimental set-up. The procedure is based on the principle that it is possible to test minuteness displacement and thermal deformation with electronic speckle pattern interferometer (ESPI) techniques. The chips' direct performance of packaging reliability is their heat reliability. Therefore, heat reliability is firstly tested and then their packaging reliability is speculated. Two similar kinds of chips are chosen as specimens. In the experiment, the speckle pictures of specimens with five groups of equivalent input heat are obtained respectively, and meanwhile their corresponding surface temperature is measured. Disposing pattern stripes and calculating the heat source temperature show that both their off-surface displacement deformation and temperature are obviously different. From the experimental data, the simulation curve of off-surface displacement with temperature is plotted. Analyzing the changes of fitting curve testify that the chip with lower rate is of high reliability. The results justify that using ESPI could simply test packaging reliability of chips. This fact along with the exact knowledge of thermal deformation may be more useful for understanding heat stress. Moreover, this approach is characterized by fastness, reliability and real-time, and is therefore a quite effective tool for reliability analysis of microelectronic devices.
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Aim at measuring basic parameters, geometric parameters and errors of tooth of micro-gears, a non-contact measurement method of micro-gear based on micro-vision is presented. In measurement, edge scanning and edge recognition based on process match principle were used to obtain accurate edge; the basic and geometric parameters could be measured by fitting the related edge data according with the definition of each parameter; the tooth profile errors were measured by building the measurement model in the direction of involute normal; and the tooth pitch errors were calculated by comparing between the nominal tooth pitch and each actual tooth pitch. The experimental results indicate that the essential micro-gear parameters are measured with high accuracy. And it also shows that this measurement method based on micro-vision can be applied to micro-spur gears successfully.
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Because of the good antinoise performance and non-sensitive traits against the partly covers phenomenon, the Hough transformation has been widely used in the fields of machine vision and pattern recognition. The automatic recognition of pointer instrument always uses digital image processing methods. In order to obtain accurate indication, this paper utilizes some edge detecting methods to obtain the binary image of instrument dials and pointer feature. Based on the Hough transform, this paper describes the application of automatic recognition of traditional instrument pointer which has been proved to be effective on improvement of computing efficiency. And it makes possible to detect pointer instrumentation real-time and low-cost.
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A method of distortion correction based on parallel lines is presented, not only for radial distortion coefficient but also for tangential distortion coefficients. Firstly, an approximate line passing through the center is approached by anamorphic curves. The coefficient of distortion is combined with the vision process to correct an anamorphic image for the final calibration of the liner model. Secondly, the point with only tangential distortion is gained by the actual point minus radial distortion. The distances from the point with tangential distortion and the ideal point to the principal point are equivalent. The Least-squares method is used to fit lines in theory, and the coefficients of tangential distortion are gotten.
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This paper presents a novel multi-modal medical image fusion algorithm based on wavelet transform. The algorithm is
improved based on the rule of usual local region-energy fusion, expanding the fusion to low-frequency coefficient
processing, and adding direction weighted operator based on different sub-frequency band reflecting image features.
Experiments results of CT and MRI image fusion proved that the algorithm can get a better fusion effect than other usual
fusion methods.
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In a 3D vision system with self-calibration, a new calibration method using pattern projection, it is necessary to process a lot of image data, within which the image denoising is one of the foundation work. In this paper, independent component analysis (ICA), a simple, efficient and applied method to clean image noise is introduced. Independent component analysis is a recently developed method in which the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and noise cleaning of an image.
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The path planning is developed on the subject which aim to guide a walking robot from a starting point forwards a goal. The paper presents a now model merging the optimization of support vector machine (SVM) into the artificial potential field path planning. Using the path planning, robots can estimate a free smooth walking path of obstacles. Based on the statistical learning theory, the SVM can be used to optimize a zero-potential decision boundary in the 2-dimemsional map with a large margin. The idea of large margin implies that a wide path can be obtained with the employment of the SVM. With the RBF kernel, the presented method produces a 2-dimemsional potential-field map. In the map, obstacles are modeled as the sum of various parametric Gaussian distributions. As known, a map composed with the superposition of 2-dimemsional smooth Gaussian functions can also achieve the walking path smooth. Upon this, potential-field or road map based robot navigation can easily be applied to achieve the path smoother. The proposed model provides a way to search a wide smooth road for the robot. Detailed experiments and discussions are included in the paper.
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For better understanding of the air beam assisted in-process optical measurement process to improve system design, a CFD study was conducted. In the CFD study, a two-phase flow model was used to examine the gas-liquid two-phase flow in the measurement region. It was found that the CFD results and the experimental results agree very well with each other, demonstrating the validity of the CFD model in simulating and predicting the gas-liquid two-phase flow for the in-process optical measurement process. A number of key issues, such as fluid domain, boundary condition, CEL, meshing, and calibration, will be presented and discussed. Balancing in use of memory and time cost for better computational accuracy for the CFD study of precision measurement will also be discussed.
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We propose a practical tool for exploring the dynamic relation between road profiles and vehicle motion in the time domain. It is symmetric in the sense that the direct (vehicle response to a given road profile) and the inverse (ideal road profile for a given response) problems are both solved by means of digital filtering. The dynamics of each vehicle is described by linear time-invariant differential equations found from a frequency domain vibration analysis. These are then synthesized in a time-domain digital 'vehicle filter'. The approach is here applied to ideal road hump construction for single axle vehicle models. The responses at various speeds to the derived optimal hump as well as some existing profiles are compared. These results are condensed into simple guidelines for optimal road hump design.
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The non-diffracting beam triangulation measurement system possesses the advantages of longer measurement range, higher theoretical measurement accuracy and higher resolution over the traditional laser triangulation measurement system. Unfortunately the measurement accuracy of the system is greatly degraded due to the speckle noise, the CCD photoelectric noise and the background light noise in practical applications. Hence, some effective signal processing methods must be applied to improve the measurement accuracy. In this paper a novel effective method for removing the noises in the non-diffracting beam triangulation measurement system is proposed. In the method the grey system theory is used to process and reconstruct the measurement signal. Through implementing the grey dynamic filtering based on the dynamic GM(1,1), the noises can be effectively removed from the primary measurement data and the measurement accuracy of the system can be improved as a result.
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In order to prevent overturning accidents, the lifted weight and the angle of depression should be detected when a large portal crane is working in a shipyard. However, the locations of the weight sensor and the angle of depression detection part are far away from the central control room. The long signal transmitting distance is so long that it results in a lot of interferences, even the breaking down of the system. In order to solve the above mentioned problems, a high precision analog signal amplifier and a voltage / current (V / I) transforming circuit is set at the place of the sensor to detect the weight. After the sensor signals have been amplified, they will be transformed into 4 to 20 mA current signals for transmission. Thus the interferences in the long transmitting process can be overcome. A WXJ-3 potentiometer is applied to detect the angle of depression. This device has the advantages of a high accuracy of repeated positions, a good stability and a strong anti-fatigue property. After processed by the current-strengthened circuit, the transmitted signals representing voltage value can have the characteristics of transmitting currents because of the large current value. Then the anti-jamming capability is stronger. Send the weight and the angle of depression detection signals to A/D converter, then the signals turn into digital representation and are sent to the control system composed of a PLC. The PLC calculates the current rated lifting weight depending on the different angles of depression, and when the weight is greater than the rated one, the PLC sends control signals to stop the lifting; hence the crane can only put down the weights. So the safety of the large portal crane is effectively guaranteed. At present ,the system has been applied to the 70-ton large portal cranes of the Tianjin Xingang Shipyard with a safe operation of 10 years.
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According to the nonlinear dynamic characteristics and uncertainty of Multi-sensor Integrated System(MSIS), the Multi-sensor Cooperative Measurement Mechanism(MSCMM) is studied based on Synergetics. By dint of analogy method, the MSCMM is described deeply and its model with the dynamic cooperation-competition-harmony course is proposed. Then dynamics equation of MSCMM model is established. With the Slaving Principle(SP), eliminating stable modes, the potential function of order parameters equation is acquired. Through deducing instability limit of potential function, the cooperative degree ξ is obtained. After the MSIS becomes stable, the uniform expression of accuracy η of multi-dimension uncertainty is achieved. Sequentially, the assessment index system is confirmed, including cooperative degree ξ, accuracy η, iterative error ψ and stability steps L. Finally, the application in multi-parameter safety monitoring for electric transmission line is introduced. The experiment results show that the MSCMM possesses self-association and self- recover, enlarges greatly time-space range of multi-sensor system and decreases effectively uncertainties.
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This paper has researched signal processing methods of grating measurement system, and has come out a method to subdivide grating signals based on BP neural network. This measuring method focuses on the special property of the obtained grating signal. The method also decreases the precision requirement of the signal. When the measuring system changes, subdivision models can be altered automatically by software. BP neural networks can subdivide grating signals with few sampling points but high magnitude. This subdivide-method combines software and hardware, has simple structure, does not require complex circuit, and has a strong adaptive system.
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As the non-diffracting beam has a very small central spot diameter and a long non-diffracting distance of transmission, fairly high measuring accuracy and continuous measurement can be expected from its application in straightness error measurement. The accuracy of center positioning of non-diffracting beam is vital to the accuracy of straightness error measurement. Traditional methods of locating spot center are not suitable to non-diffracting beam. A new method of global center detection for non-diffracting beam is proposed. In order to verify the performance of this method, theoretical and experimental analyses were conducted. The results show that the presented method is effective. The center location of non-diffracting beam with noise is realized with subpixel sensitivity and high anti-interference ability.
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Ratio power is one of the important performance parameters of compressor. The paper researched the compressor automatic test technology based on Virtual Instrument and then designed a convenient and high efficiency compressor ratio power tester with additional condition protection function applied in industry field. In the paper, a test scheme with PXI bus hardware and LabVIEW software was proposed. Then, based on research of vibration signal process method, realization arithmetic of automatic computational parameters tables search and theory of wavelet packet frequency band divided energy, an intelligent ratio power tester was introduced in detail. The instrument can monitor compressor running condition before or in the process of testing the value of ratio power, obtain each relate tested parameter automatically and show change trend, compute values of multi-type compressor ratio powers with automatic tables search and also give the compressor performance estimate results. The testing field running results with a water-cooling two level compressor shows that the tester has exact and fast calculation and has virtues of high efficiency, reliable performance and convenient use.
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A method for estimating the impact location of a loose part is described in this paper, which uses Hilbert-Huang Transform (HHT) and dispersion characteristics of bending waves propagated in a plate. The power propagation velocity and arrival time difference of bending waves related to the dispersion characteristics can be obtained through the transformation of impact signals using Hilbert-Huang Transform. The distance from the impact location to the signal measuring point can be estimated using the information on the power propagation velocity and the arrival time difference of two bending waves. The experimental results show that the proposed method estimates the impact location with average relative percentage error in 7.68% compared with the actual impact location.
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Analysis and research methods on curved surface's prototyping error with FDM (Fused Deposition Modeling) process are introduced in this paper, then the experiment result of curved surface's prototyping error is analyzed, and the integrity of point cloud information and the fitting method of curved surface prototyping are discussed as well as the influence on curved surface's prototyping error with different software. Finally, the qualitative and quantitative conclusions on curved surface's prototyping error are acquired in this paper.
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The reasons why the coordinate measuring machine (CMM) dynamic error exists are complicate. And there are many elements which influence the error. So it is hard to build an accurate model. For the sake of attaining a model which not only avoided analyzing complex error sources and the interactions among them, but also solved the multiple colinearity among the variables. This paper adopted the Partial Least-Squares Regression (PLSR) to build model. The model takes 3D coordinates (X, Y, Z) and the moving velocity as the independent variable and takes the CMM dynamic error value as the dependent variable. The experimental results show that the model can be easily explained. At the same time the results show the magnitude and direction of the independent variable influencing the dependent variable.
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Vibration signals from fault gearbox are usually complex with many different frequencies. As a result, it is difficult to find early symptoms of a potential fault in a gearbox. WPD (Wavelet Packet Decomposition) have been established as the most wide spread tool to disclose transient information in signals and wavelet packet filter is found to be very effective in detection of symptoms from vibration signals of a gearbox with early fatigue tooth crack. The paper presents a method to decompose the fault vibration signals with WPD and analysis the decomposed vectors with statistic algorithm to diagnosis the gearbox fault. The method is considered to be effective with the aim of gearbox fault detection and diagnosis.
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Small current grounding system is the system that the neutral point doesn't ground or grounds across the arc suppressing coils, which has been applied commonly in distribution system of many countries. As the grounding fault occurs, current is the one caused by capacity of circuit to ground only and it is rather small. The status of fault is complexity, e.g., the electromagnet interferes together with the amplified impact of zero-order loops to high-order singularity waves and various temporary variables. All these result in the lower ratio of the fault element signal to noise caused by zero-order current.
In this paper, the position of signal singularity and the magnitude of the singularity degree are analyzed based on the variable focus character of wavelet, and the time fault occurs is then determined. The series db wavelet with close sustain is adopted, and the line selection is according to the zero-order voltage of the generatrix and the current of various outlet line. It is proved by the experiment that the fault circuit diagnosis method based on wavelet analysis to the character of temporary status of single-phase grounding fault plays an important role to a finer line selection.
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This paper describes a hybrid fault diagnosis approach that combines the real-valued negative selection(RNS) algorithm and the support vector machine(SVM) and its application for fault diagnosis of hydraulic pump because it is very difficult to gain the fault samples in the fault diagnosis process of hydraulic pump. In this method, the RNS algorithm is used to generate the nonself set as the fault samples, which are used as the input to SVM algorithm for training purpose. The problem of lacking the fault samples is solved by using this new method. It is accomplished to eliminate the noise existing in the measured signals of hydraulic pump and pick up its features using the wavelet analysis method. Finally, the hydraulic pump fault samples are tested by using the hybrid approach. The classification right rate by this method is 90%, so it is valid for the fault diagnosis of Hydraulic Pump.
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In many high-speed, real-time opto-electronic measurement systems, data's transferring is one of the main difficulties between the embedded processors. In this paper, a way of communication based on Peripheral Component Interconnect (PCI) bus is discussed between a POWERPC (POWERPC440GX) and DSP (TMS320DM642). By using the DSP'S enhanced direct-memory access (EDMA) controller, the data can be transferred in burst accesses mode in which the speed is very high. Since the EDMA controller of DM642 can access any portion of a block of internal data memory while the CPU is simultaneously accessing any portion of the other blocks, the transferring does not affect DSP's processing. The transfer mode is master write which is initiated under DSP control via the DSP register. With CPU 600MHz, 32bit 66M PCI of DM642 and 32 or 64-bit 66M PCI of POWERPC440GX, the PCI's peak transferring speed is up to 210MB/s which completely meets the system's real-time need. And this method is low cost comparing to other methods because the DSP's own PCI port is used. So this method can be widely used in data transferring and processing in high-speed, real-time opto-electronic measurement systems.
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The turbulent flow characteristic of flowing velocity field in the Kenics static mixer (KSM) was studied by measuring the time series of pulsant velocity with Laser Doppler Anemometer. The probability density functions of the Cartesian velocity fluctuations were obtained and compared with the corresponding normal distributions. The deviation from the normal distribution described by skewness and flatness factors was analyzed quantitatively. The experimental results indicate that the value of Skewness fluctuates from -2.79 to 3.12 which mean that the distribution of velocity field is not a normal distribution, and the existence of coherent structure is pointed out by the distribution of Flatness of pulsant velocity with a range of 3~9.5.
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A new signal processing method based on the theory of mathematical morphology filter for Removing DC offset and noise pollution about the on-site sampled data is proposed. Conclusion that the ratio of the signal numerical frequency to length of flat structuring element determines the attenuation magnitude of signal and the principia of length of flat structuring element has been found, by analyzing inhesion meaning of base operation of mathematical morphology and then making up combination morphological filter with Maragos type of open-close and close-open. This method possesses following advantages: high calculation speed, easy implementation of hardware and better use value. The arithmetic is simulated with Matlab software and then transplanted to DSP hardware platform and practiced in on-site. It is proved that the proposed method can deal with the sampled data corrupted by on-site noise and the DC of set efficiently. Also, the processed results can meet the requirement in real time well.
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The position of loose part can be located by analyzing the impact signal generated by the steel plate and the metal part which strikes the plate or falls to it from a certain height. A new method utilizing Fast Fourier transform (FFT) and Support Vector Machine (SVM) is proposed in this paper to locate positions of loose parts. FFT changes signals into frequency domain from time domain. While trained by the eigenvalues (i.e. Feature values) of impact signals from simulant device, SVM can distinguish locations of loose parts in an acceptable bias. Experiments proved that the above mentioned method is feasible.
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2-D grating interferometer configuration for high resolution displacement measurements is introduced, and the interferometer uses one cross grating as the scale to achieve planar displacement measurement. According to 2-D grating interferometer structure, error sources are analyzed, and the pitch and yaw of 2-D grating guide caused by planar guide's non-linearity is the main factors to decrease the measurement system's accuracy. The theoretical analysis of the three spatial axes guide error is carried out and the related errors are evaluated separately. According to the analysis, the measurement accuracy is sensitive to 2-D grating movement's pitch and yaw, the grating's location deflections are only systematic error and can be compensated by calibration experiments and software, some methods of system error correction and system mount are given. In order to decrease the system sensitivity to the errors of the grating plane movement, the improved configuration is proposed.
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In order to eliminate the noise and information coupling in the sensing information of the multi-sensor information measuring system, the paper propose a new modeling method, which adopts a distributed sensing mode, uses wavelet multiscale method and multivariate interpolation decoupling approach based on multiscale characteristic respectively in the de-noising and decoupling of sensing information, then uses scalars weighting method under minimum variance to estimate each sensor's contributing rate, and finally obtains the optimal fusion estimation of multi-sensor information. The experiments on the liquid component measurement in complex environment indicate that the precision of the modeling method can reach ±1.5%.
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A new approach for decreasing the amplitude characteristic deviation of Guassian filter in surface roughness measurements is presented in this paper. According to Central Limit Theorem, many different Guassian approximation filters could be constructed. By using first-order Butterworth filter and moving average filter to approximate Guassian filter, their directions of amplitude deviation are opposite, and their locations of extreme value are close. So the linear combination of them could reduce the amplitude deviation greatly. The maximum amplitude deviation is only about 0.11% through paralleling them. The algorithm of this new method is simple and its efficiency is high.
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The research on the technology of non-contact measurement of rotary part's profile has important academic significance and practicability for improving the rotary part's manufacture precision. In this paper, a method of non-contact measurement to rotary part's profile is studied. This method can be used to measure rotary parts more efficiently and accurately.
In order to measure the rotary part's profile continuously, a laser beam-blocking method is presented. One or two laser beam-blocking sensors are used. The part that be measured is placed between the sensor's emitter and receiver. The part will block some laser beam. From the sensor, the diameter in a certain section of the part can be got directly.
In order to eliminate the influence brought by the part's position error, we should obtain the axes equation and contour line equations through curve fitting. Then we get the real surface size through coordinate transformation. In this paper, genetic algorithm is used to fit the contour line equations and the axes equation in order to improve the speed and precision of data processing.
The experiments results show that the scheme presented in the paper is feasible, and the data processing method is correct.
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This paper made some research on the method of feature extraction of ultrasonic flaw echo signals based on WPT, which can reserve the characteristics of high-frequency. After de-noising and feature extracting, characteristic vectors were measured and used to train SVM classifier. The SVM classification method could seek for the vectors which had preferable classifying ability. Through the real tests of aircraft bolts, the method had advantages such as high accuracy and high applicable value.
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This article employs SVD (singular value decomposition) method to study dynamic characteristics of NC (numerical control) table. Acceleration signals of the NC table at three directions were tested; the singular spectrum of the signals was acquired with SVD; principal components of the signals were found out; the dynamic characteristics of the signals and its contributing factors were studied through extracting dynamic characteristics of principal components; and quantitative analysis was made on signals and principal components through calculating signal energy. The results indicated that signal characteristics of the previous two principal components are apparent, based on which dynamic characteristics of chaotic signal can be extracted; signal at perpendicular direction of table is greatly correlated with that at the horizontal moving direction, indicating that they are excited from the same vibration source. But signals perpendicular to each other in terms of moving direction at the horizontal level is rarely correlated; total signal energy is maximum at moving direction, minimum at horizontal non-moving direction and in the middle at perpendicular non-moving direction; bending vibration of lead screw at perpendicular direction is far more violent than that at horizontal direction.
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Using gravity anomaly covariance function based on second-order Gaussian Markov gravity anomaly potential model, the state equation of gravity anomaly signal is obtained in marine gravimetry. Combined with the system state equation and the measurement equation, a new method of cascade Kalman filter is proposed and applied to the correction of gravity anomaly distortion. In the signal processing procedure, inverse Kalman filter is used to restore the gravity anomaly signal and high frequent noises firstly, then a adaptive Kalman filter - which uses the gravity anomaly state equation as system equation - is set to estimate the actual gravity anomaly data. Emulations and experiments indicate that both the cascade Kalman filter method and the single inverse Kalman filter method are effective in alleviating the distortion of the gravity anomaly signal, but the performance of the cascade Kalman filter method is better than that of single inverse Kalman filter method.
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In order to diagnose the compressors' fault on line, an intelligent checking method is presented in the paper. A vibration
sensor was put on the compressors that should be detected. The vibration signals obtained by the sensor contain a great
deal information, which reflects the compressors' qualities and their type of faults.
It has been proved that, the vibration signals obtained from compressors with different faults have different time domain
features and frequency domain features. We extract those features, and then get a feature vector which is sent to an
intelligent information processor.
In order to improve the generalization and robustness of the processor, we adopt a fuzzy clustering radial basis function
(RBF) neural networks as the information processor. A method of fuzzy C-means clustering based on minimized mean
square error rule is used to determine the RBF layer, and the shape factors of RBF neurons are determined by the grades
of membership.
The experimental results show that, fuzzy clustering RBF neural networks neural networks have powerful ability of
pattern recognition, and the faults diagnosis method is feasible to diagnose the fault of the revolving machinery.
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The characteristics of accuracy control of large-scale airfoil-wainscot parts are analyzed. The accuracy of airfoil-wainscot is controlled by its rib curves, and they are straight whether after processing or before on the direction of face projection. The radius compensation algorithm of probe is presented based on measured data. For the reason that rib curves are 2D curves and the curvature is relatively smaller in the direction of wainscot stringer, the methods of least-square error analysis and polynomial fitting are adopted to compensate the radius of probe on the osculating plane of each rib curve. Aiming at the inspection requirement of measured part, the algorithms of curve matching and error analysis are proposed. The experimental results show that the proposed method can meet the precision requirement of online inspection of airfoil-wainscot parts.
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Virtual instruments (VIs) require metrological verification when applied as measuring instruments. Owing to the
software-centered architecture, metrological evaluation of VIs includes two aspects: measurement functions and software
characteristics. Complexity of software imposes difficulties on metrological testing of VIs. Key approaches and
technologies for metrology evaluation of virtual instruments are investigated and analyzed in this paper. The principal
issue is evaluation of measurement uncertainty. The nature and regularity of measurement uncertainty caused by software
and algorithms can be evaluated by modeling, simulation, analysis, testing and statistics with support of powerful
computing capability of PC. Another concern is evaluation of software features like correctness, reliability, stability,
security and real-time of VIs. Technologies from software engineering, software testing and computer security domain
can be used for these purposes. For example, a variety of black-box testing, white-box testing and modeling approaches
can be used to evaluate the reliability of modules, components, applications and the whole VI software. The security of a
VI can be assessed by methods like vulnerability scanning and penetration analysis. In order to facilitate metrology
institutions to perform metrological verification of VIs efficiently, an automatic metrological tool for the above
validation is essential. Based on technologies of numerical simulation, software testing and system benchmarking, a
framework for the automatic tool is proposed in this paper. Investigation on implementation of existing automatic tools
that perform calculation of measurement uncertainty, software testing and security assessment demonstrates the
feasibility of the automatic framework advanced.
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Uncertainty in verification results of Ra (arithmetic mean deviation specification) of surface roughness is usually not
considered in actual measurement and evaluation processes. To overcome this problem, a new method for calculation of
expanded uncertainty of Ra is proposed to assure the integrity and validity in verification results in terms of new
generation of international GPS (geometrical product specifications and verification) standards. The method calculates
basic verification results of Raof surface roughness by using principle of least-square. And the expanded uncertainty of
verification results is computed by the relations between information entropy and uncertainty. With the measured result,
the measured parts can be judged if it is acceptable by using the decision rules provided by standard ISO 14253-1.
Finally, the comparison is given between expanded uncertainty and combined standard uncertainty through using a tested
practical measured part. The combined standard uncertainty is computed according to the propagation formula given by
standard ISO 14253-2. Experiment results indicate that expanded uncertainty can be immediately computed by
Information Entropy Principle. Thus the decision can be made whether to accept or to reject the measured component by
the result of Ra and uncertainty. Therefore, this method could reduce the probability both for mis-acceptance rate and the
mis-rejection rate of the measured parts.
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Precise air-bearing motion table is widely used in the lithography machine and other semiconductor manufacturing
equipments. In this paper, a high performance H-type air-bearing XY motion table driven by linear motors was
introduced and its positioning error measuring, modeling and compensation were studied. Firstly, the main error sources
and types of the motion table were analyzed. Secondly, applying laser-vector-measurement technique, positioning errors
in the X and Y directions were measured by laser interferometer. Then the composite error models of three linear motors
in the H-type stage were built by different methods, including piecewise linear models, B-spline curve models and
artificial nerve network models. According to the structure characteristic, the difference between the one-dimension
(1-D) and two-dimension (2-D) error model and compensation effect were studied. Lastly, some error compensation
experiments were carried out based on different error models. The experimental results show that positioning error in X
and Y directions were decreased to less than 1µm through error correction, which can fulfill the micron level precision
requirement in industry, the B-spline model and BP nerve network model had better error forecast ability than the
piecewise linear model, and the 2-Derror model has better compensation effect than 1-D model.
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Recently, in oil hydraulic systems, depressing of vibration and noises, which is caused by bubbles in the working liquid,
has been becoming an important subject of study while quick and refining controlling is becoming an urgent demand.
Diffusion from gas to oil is the primary physical phenomenon to form these bubbles. It is necessary, therefore, to study
the diffusion behavior between gas and the mineral oil which was used in hydraulic systems. In this study, first, equations
were derived to calculate the diffusion volume of the gas into mineral oil individually or into an oil-rubber double layer.
On the other hand, a method was proposed to measure the minute change of the gas volume, which was caused by
diffusion, using an installation consists of laser heterodyne interferometer and a U-tube. Then the gas diffusion volumes
to oil or to the oil-rubber double layer were measured respectively and compared to the values calculated from the
equations mentioned above. As a result, the experimental values were good agreed with the ones calculated from the
theoretical equation. Furthermore, the diffusion volume was affected because the rubber layer was added.
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Considering the measurement accuracy of the line profile error is affected because of the position error between the
design benchmarks and measurement benchmarks during the measurement process, this paper brings forward a new
method to calculate the plane line profile error precisely based on the complex figure optimization design. Use the
indirect method of coordinate transformation to establish the objective function, and adopt complex figure algorithm and
Newton-Iterative method to optimize fitting turning point, then to evaluate the plane line profile error precisely.
Eliminate the effect of the position error betwe the design benchmarks and the measurement benchmarks by
auto-spotting in the measurement process and ensure measurement accuracy. This method is highly feasible, precise and
convenient to use.
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An apparatus, mainly being made up of 3 displacement sensors, for measuring large diameter from Chord Length and
Bow Altitude is designed, and the diameter measuring uncertainty is discussed in detail. The chord length, being
calibrated with two standard circles, is selected matching with the dimension of measured large diameter. A series of
techniques, including of sensors being set symmetrically, relative measuring method, and averaging the measuring
results, are presented, so that the structure of measurement apparatus, the processes of calibration and measuring are to
be simplified, with the measuring precision being improved. The results show the uncertainty of estimated values of
diameter is about 3 μm, when some conditions are restricted.
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This paper introduces the research on error modeling of tailored blank laser welding machine which has four linear axes. The error models are established based on multi-body system (MBS) theories which are developed in this paper. The number arrays of low-order body are used to describe the topological structures which are taken to generalize and refine MBS, and the characteristic matrices are employed to represent the relative positions and gestures between any two bodies in MBS. Position error associated function which can reflect the influence of each error origin on the positioning error of the machine tool is given to describe transmission error of the machine in detail. Based on this method, the paper puts forward the error model of the tailored blank laser welding machine. The measurement and evaluation of their error parameters start, after complete error modeling of the machine. Leica Laser Tracker is introduced to measure the errors of the machine and to check the result of the error model.
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The velocity, pressure, stream function and velocity magnitude in different case are discussed by numerical analysis and
simulation of the fluid flow in the throttle poppet valve channel in Precision Machinery. The place and intensity of
vortexes are analyzed and the main causations of energy loss are found. It is indicated that the stream function, velocity
magnitude, energy loss and flow noise is reduced, negative pressure is changed and the use of energy is improved by
optimizing design of the throttle poppet valve spool.
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A two-step method is proposed to orientate the Total Station (TS) precisely with the help of a Fiber Optic Gyro (FOG), in
which another control point is not needed. The operation methods have been introduced, the formula to calculate the
azimuth of the traverse axes of TS has been derived, and the accuracy of the orientation has been calculated. As long as
that the projections of install error on both the vertical and horizontal planes are less than 1°, the systematic error and
the installation error can be eliminated or compensated very effectively. Correspondingly, the precision of orientation
is mainly influenced by the random error arisen in the FOG observations and is accurate enough for some daily surveying
works.
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This paper presents a non-contact measuring method of geometric errors for NC machine tools based on circular track testing method. Let the machine spindle move along a circular path, the position error of every tested position in the circle can be obtained using two laser interferometers. With a volumetric error model, the 12 components of geometric error apart from angular error components can be derived. It has characteristics of wide detection range and high precision. Being obtained geometric errors respectively, it is of great significance for the error compensation of NC machine tools. This method has been tested on a MCV-510 NC machine tool. The experiment result has been proved to be feasible for this method.
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Study of the dynamic characteristics and accuracy theory about measuring system must build its mathematic model. Aim
at the limitations of traditional modeling methods, studying the whole-system dynamic error modeling theory, this
modeling method and theory consider sufficiently the information about insider buildup units of measurement system, so
the built model can reflect the change of the transfer behaviors of system's inside structural units to influence the actual
measuring system along with time. The modeling theory can be applied widespread; using this modeling theory can build
all system's whole-error modeling. The whole-error modeling of the hundredth meter is built using this theory.
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Dynamic error separation is still an important subject and research high tide nowadays. Along with the development of
time series and modern spectrum analysis, dynamic error separation combined with Mathematical Modeling becomes a
main trend. A new algorithm for separating dynamic error is proposed in this paper. It is based on time series and modern
spectrum modeling principle. Firstly, dynamic random error is separated by dint of time series model combining
recursive instrumental variables and Kalman filter. Then the trending component and the harmonic component are
respectively identified by using Stepwise Rejection-Accept Regression Analysis and Pisarenko spectrum analysis
method. Finally, compared with the prior information, dynamic system error is mostly separated. Separation of the error
components is verified through simulation experiment. The performances of algorithm are illustrated according to the
results obtained from simulation. It shows that 99.53% of random errors are separated, in addition, the estimation of trend
component and frequencies of periodic components (the corresponding amplitudes) of system error are also obtained.
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Gears as common machine elements are deformed when its temperature varies. One direct result is that the tooth shape
of meshing gear is changed. Using the theory of heat and elastic mechanics, the involute cylindrical gear is taken for
example. Calculation makes it clear that the total profile of gear after thermal deformation is different from the shape
before thermal deformation. That is named non-similarity, and the non-similarity error is given. For proving the
non-similarity existed in thermal deformation of Gear, a four-dimension equipment is adopted for experiment, which is
able to realize rotated motion and rectilinear motion. The experimental result also shows that the non-similarity does
exist in thermal deformation of involute cylindrical gear. Shared a common theory, the non-similarity is existed in the
circular gear.
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Helicoidal surfaces are very useful in many aspects, their error assessment has become more and more important. In this
paper, studied the method of the error assessment, and the key point was focused on how much number of measuring
points to be enough. Firstly, the current methods of the error assessment were analyzed. Then, the study was spread out
from general equation of the helicoidal surfaces to general model of the error and the error assessment, and pointed out
the number of the measuring points could be determined with the variations of the means and the variances of the errors.
Finally, took a worm as an example to explain that the method is feasible.
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The expression system of uncertainty in conventional scale has been perfect, however, due to varies of error sources, it is
still hard to obtain the uncertainty of large-scale instruments by common methods. In this paper, the uncertainty is
evaluated by Monte Carlo simulation. The point-clouds created by this method are shown through computer visualization
and point by point analysis is made. Thus, in fusion measurement, apart from the uncertainty of every instrument being
expressed directly, the contribution every error source making for the whole uncertainty becomes easy to calculate.
Finally, the application of this method in measuring tunnel component is given.
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Freeform surface is very common in the shape design of industry products. Its quality is a key to reverse engineering. It
is mainly evaluated from the precision and fairness which are studied. First the precision optimization is carried out by
two steps: rough modification and fine adjustment according to the Least squares-based evaluation technique through
control points repositioning and weight points adjusting respectively. Second the fairness which contradicts the precision
is optimized form two aspects of local fairness and global fairness. In order to satisfy local fairness bad points are
adjusted first and then for the global fairness a technique based on Wavelet theory is adopted. Finally, a computation
program is developed with Visual C++ & OpenGL and some examples are dealt with by the methods. The results verify
that the proposed methods are valid.
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For the purpose of design, manufacture and verification, a consistent geometrical model for the product function is
required. In the product life circle, full implementation of the GPS standard is to effectively analyze, optimize and
control the factors related to the quality of product geometrical dimension. It's very difficult for the designer to manage
them. This paper first analyzed GPS's role in product's quality control, then typical CAx data format and interface are
studied to realize data bidirectional transform. The method is proposed to integrate GPS standards in typical CAx by
using TOOLKIT interface provided by Pro/ENGINEER. Associate GPS modules are embedded. Finally, integrated
platform is developed. The integrated platform can reduce the application costs of GPS standards; moreover, it can
achieve the automatic control and optimization of product's geometric quality.
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The adequate and essential conditions for chaotic motions of a mechanical dynamometer with spring are studied by the
Melnikov's method. Further more, the global bifurcation diagram of the system is obtained; and the transformation
including periodic motion, jumping, doubling bifurcation motion, quasi-periodic motion, and chaotic motion. The system
could entrance the chaotic motion through the route of quasi-periodic. The system could return periodic motion from
chaotic motion by reverse bifurcation. Besides that, the bifurcation curve has the property of self-similitude.
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Greenhouses can by their control systems provide a good environment for growing crops, raising crop yield and
improving crop quality. According to the trait of glass greenhouse control and development trend, the paper introduces a
five-level control system based on an embedded CAN-Bus. The field monitoring level using the ARM processor, is
communicating with the device level via the CAN-Bus. The central monitoring level communicates with field
monitoring level via TCP/IP. The paper introduced some key technologies about the software such as the CAN-Bus
driver, an intelligent control strategy, a database technology and a remote control technology. The system had the
characteristic of an amicable interface and a modular and open structure. It has been in use for two years in the
greenhouse of the Zhejiang university of technology, which showed that the system was reliable and effective.
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Based on the surface grind hardening experiment, major forms of two side-direction burr are given out through the
experimental observation, as well as its formation and variations are studied. The studies show that in the processes of
the grinding-hardening, metal in the vicinity to the contact region under the high temperature plastic flows toward the
free surface without constraints in two sides so to form the two side-direction burr, under the action of an abrasive wheel.
The morphology and size of two side-direction burr varies with changes of the grinding conditions. The higher the
grinding temperature is, then the larger the grinding force is, and the bigger the size of the two side-direction burr is.
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The grey theory was applied to set up a model of grey PID control on the semi-active suspension with
magnetorheological damper, and the controller design method was discussed. In this dissertation, an automotive vibration
model of 1/4 body with 2 degree-of-freedom is created, which is based on the automotive dynamics theory. At the same
time considering the great influence of the road disturbance on the suspension, the mathematical model of road surface
irregularity with the kind of white noise is established. And the simulating input of road surface utilizes the C-class road.
The programming steps under MATLAB platform are described. It provides a new method for the semi-active
suspension contro1.
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A thermodynamic entropy model of cutting fluid in cutting process was founded based on thermodynamic theory.
Furthermore, the internal mechanism of entropy generation in cutting fluid was revealed based on the external entropy
flow and the internal entropy generation. The dynamic entropy equilibrium equation of metal cutting system was
calculated which provide an effective way to select cutting fluid properly.
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Measurement system analysis guarantees the reliability of acquired data. Although much research has been performed
regarding variable measurement system and Gage R&R has been comprehensively employed across many companies,
there is relatively little attention that has been paid to binary measurement system, which is considered to be more
practical and efficient. Proportion of agreement is generally utilised to evaluate binary measurement system in the
traditional AIAG method. As a consequence, sample size should be more reasonably determined, in which process the
number of parts, appraisers, and trials are of key importance. However, this critical issue has not been profoundly
investigated as yet. In the present study, the number of parts is determined through the plot of length of confidence
interval, and an alternative method is introduced to choose the number of appraisers and trials based on the majority
voting rule. This is considered to be more sensible than the prevalent rule, in which two appraisers and two trials are
usually chosen and an agreement is made only when the conclusions of both appraisers and trials are the same. In
addition, a data set is analysed using the proposed method, and the results indicate that it is more rational.
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In the current circuit design technology, due to increasing device density and operation speed, crosstalk effects are
induced between circuit elements. A new method for the detection of crosstalk faults in digital circuits is presented in this
paper, the method is based on both the energy function model of digital circuits and the chaotic ant colony algorithms.
First of all, the energy function models of basic gate circuits are constructed, then the energy function corresponding to a
digital circuit is built. The energy function of a circuit is the summation of all energy functions of the gates in the circuit.
The test vectors of crosstalk delay faults in the circuit are produced by computing the minimal energy states of energy
functions. Secondly, a chaotic ant colony algorithm is designed to compute the minimal energy states. Experimental
results show the method proposed in this paper is able to produce the test vectors of crosstalk delay faults if there are the
test vectors for the faults, therefore the high fault coverage can be obtained by the proposed method.
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Considering the characteristics that point cloud data obtained by laser scanning system has the same coordinate values in
some dimension, the triangular B-B surfaces reconstruction technique is proposed. For the preprocessing of the initial
point cloud, the points that don't belong to the surface are deleted, and the methods of splitting, sorting and slicing are
used. The least square non-uniform B-Spline method is used to smooth and interpolate the section point cloud data, then
the data of reconstructed surface can be achieved after a secondary sampling. An example of the mouse is given to testify
that the method is effective and feasible.
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The system that can recognize whether a pinhead is inaccurate fitting and location in hackle is introduced. The system
includes several parts: lamp-house, pick-up camera, movement control card, step motor, hackle and switch. Image
collected by pick-up camera is auto-threshold, binary, located and template matched. As there is a tilt between hackle
and pins, collected image must be rectified before matching template. After the comparison of template and searching
graph, the system can get similarity automatically, the inaccurate fitting pinhead can be recognized easily, and it also can
give an alarm while there is inaccurate fitting. It is proved that recognizable ability and accuracy can meet the demand of
the production completely by experiment.
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