Denoising Method of Partial Discharge Signals Based on Optical Fiber Sensing Detection
In order to solve the problem of noise interference in the process of partial discharge ultrasonic signal detection,a denoising method based on variational mode decomposition and improved wavelet denoising is proposed.Firstly,the PD signal is decomposed by u-sing VMD into intrinsic mode components with different frequency band distributions,and the components dominated by narrow-band inter-ference are removed according to kurtosis.Then the residual white noise in the PD-dominant components is further denoised by using im-proved wavelet denoising algorithm.Finally,the components are reconstructed into a denoised signal.The results of denoising the simulated partial discharge signal show that the proposed method can improve the signal-to-noise ratio of the noise signal by about 12.1 dB,and can preserve the original signal waveform more completely.Besides,a partial discharge simulation system with 10 kV voltage level is built in the laboratory environment,and Sagnac optical fiber sensing is used to detect the partial discharge ultrasonic signal.The experimental re-sults show that the proposed method has good denoising performance,and the noise rejection ratio of the measured signal reaches 7.504.
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