Fault detection of microwave source in high-power microwave heating system based on wavelet analysis

Biao Yang; Na Zhu; Cheng Cheng; Zhibang Liu; Qihai Mu; Zhuo Deng

doi:10.1117/12.2612020

4 October 2021 Fault detection of microwave source in high-power microwave heating system based on wavelet analysis

Biao Yang, Na Zhu, Cheng Cheng, Zhibang Liu, Qihai Mu, Zhuo Deng

Proceedings Volume 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021); 1192908 (2021) https://doi.org/10.1117/12.2612020
Event: International Workshop on Automation, Control, and Communication Engineering, 2021, Virtual Event, China

Abstract

The microwave source queue of high-power microwave heating system has only binary detection of whether there are running or not. Online real-time detection of the working status and changes of the microwave source queue is necessary in order to improve the economy and reliability of its queue. A fault detection method of microwave source queue in high power microwave heating system based on wavelet analysis is presented. Firstly, the fault of microwave source queue is judged according to the change of electric field intensity. Secondly, by acquiring the continuous wavelet transform of the input signal and output signal at multiple scales to calculate the residual signal generated by the extreme value, and the detection is completed according to the change of the residual signal. Finally, the wavelet time-frequency spectrum of the residual signal is drawn to obtain the feature information and perform visual analysis of the detection results. Three fault states of microwave source are simulated respectively, the effectiveness of the method is verified by simulation and result analysis. The continuous wavelet transform analysis method is used to detect the fault of the microwave source queue, which can accurately detect the fault location and time of microwave source queue online.

Citation Download Citation

Biao Yang, Na Zhu, Cheng Cheng, Zhibang Liu, Qihai Mu, and Zhuo Deng "Fault detection of microwave source in high-power microwave heating system based on wavelet analysis", Proc. SPIE 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021), 1192908 (4 October 2021); https://doi.org/10.1117/12.2612020

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