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- W3204121481 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." @default.
- W3204121481 created "2021-10-11" @default.
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- W3204121481 date "2021-10-04" @default.
- W3204121481 modified "2023-09-26" @default.
- W3204121481 title "Fault detection of microwave source in high-power microwave heating system based on wavelet analysis" @default.
- W3204121481 doi "https://doi.org/10.1117/12.2612020" @default.
- W3204121481 hasPublicationYear "2021" @default.
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