Fiber optic MEMS Fiber -Perot sensors have gradually become a popular research topic. However, when the sensor's spectrum is distorted, there is limited research on high-precision peak detection algorithms used in demodulation. In response to this research gap, this paper proposes an adaptive peak detection algorithm to address the issue of spectral distortion. Firstly, we segment the interference spectrum demodulated by the interrogator using the Hilbert transform method to obtain multiple independent interference spectra with only one peak. For each dataset obtained through Hilbert transformation, the number of data points on both sides is detected with its peak as the center. If the number of data points on both sides is equivalent, it proves that the interference spectrum has not been distorted. Otherwise, the interference spectrum has been distorted. We propose a spectral correction algorithm based on Gaussian fitting for distorted spectra which detailed information is reported below, and achieve the accurate peak of distorted spectra by this method. We have carried out experiments in the laboratory, and the results showed that the algorithm error was less than 0.0051MPa within the pressure range of 0-3MPa.
To meet the requirements of high temperature resistance, fast response, and stable temperature measurement in neutral beam injection systems and other environments, this paper proposes a simple fiber optic temperature sensor packaged in a copper casing structure. Temperature can be accurately measured quickly and effectively shielded against external forces by this sensor. With the temperature range of -25 to 250°C, transient thermal response simulation and experimental testing of the sensor show that the packaged temperature sensor has a sensitivity of 11.2pm/°C, linearity of up to 0.996, and a response time t63 of 0.75s. Comparative tests demonstrate that the thermal response of the fiber optic grating sensor surpasses the packaged thermocouple sensor. Furthermore, the sensor can withstand impact from both lateral and longitudinal external forces, demonstrating excellent stability.
The mine hoist operation status is closely related to the vibration signal of the hoist various components. using optical fiber sensing technology, this paper designed a hoist fault diagnosis system based on vibration spectrum analysis. Through rapid demodulation of real-time vibration signal, the system realized vibration spectrum analysis to various parts of the hoist. The test results show that the system can achieve effective monitoring of the various parts of the hoist operating status, provide an important basis for fault diagnosis.
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