The majority diagnostic research of rotating machinery consists in observation and analysis of vibration signals recorded during its operation. In complex machinery case interpretation of results of these signal analysis is difficult and there is no methods of their automatic interpretation. The paper deals with concept of application of system that is based on notation of results of analysis in form of dynamic scene. It makes it possible to consider signal features from different points of view. That approach lets us also to apply simple methods of image analysis that we use in change identification. Determined changes are the basis of concluding process that is performed at two stages.
The paper deals with methods of interpretation of features of vibration signals, which make it possibly to detect changes of these features. Considered signals are mainly recorded during varying conditions of rotating machinery. Signal features are coded in matrices that are similar to image data. Matrix is considered as dynamic scene and signal features are treated as that scene objects. These methods make it possible to identify variability of features that are strictly related to changes of technical state of the machinery. Scene analysis may be carried out with the use of methods of image analysis. Examples of these methods are lines detection or syntactic description. There is also an example of application of technical state observers.
The aim of the paper is to introduce a description of a rotating machinery operation in variable conditions. The description was based on a dynamic scene idea. A diagnostic research of the rotating machinery conducted in variable conditions of its operation lets us to observe reaction of machinery on different kinds of excitations. An example of this research is run up or run down of machinery. In this case, the frequency range of excitations is very wide. Results of this research are great source of information on technical state of the observed machinery as well as changes of its technical state. Interpretation of time-frequency analysis results is nowadays based on the visual manners of their estimation. The paper deals with a way of description of the machinery operation in dynamic scene form, which was based on results of a time-frequency analysis of vibration signals recorded during machinery operation in variable conditions. The proposed manner of that description can be basis for automatic identification of technical state of the observed machinery.
The aim of the paper is to present an application of the WT analysis of vibration signals recorded during the run-up or run-down of rotating machinery. Because of complex research work and complicated signals structure the described experiments need an application of special methods. The very good results have been achieved with the use of the WT analysis. However, it demanded special way of synchronization of analysis parameters as well as choice of basis functions. The results of the WT analysis are very interesting, but at the same time their interpretation is very difficult. There is shown an application of the RSL method in the paper. Its application leads up to partitioning of some signal components. This method can be applied to results of the WT analysis, which facilitates the interpretation of scalograms. Identification of these components with diagnostic knowledge is the base of estimation of phenomena occurred during machinery operation thereby technical state of machinery.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.