Noise reduction method for partial discharge signals based on improved threshold estimation and improved threshold function

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (22) : 1-13.

LIU Zhijian，ZHAO Haoyi，LIU Hang，LUO Linglin，SONG Qi，LI Pengcheng

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Abstract

A denoising method based on two aspects of improved optimal threshold estimation and improved threshold function is proposed. Firstly, in view of problems that the estimating value of traditional threshold method is relatively large, and the the single sequence sample entropy threshold method estimation is easy to fall into the local optimum, a comprehensive entropy model is established by combining the sample entropy of both noise and noise reduction sequences. Choosing the threshold under comprehensive entropy curvature inflection point as the optimization target, a bipartite variable step-size nonlinear search method is proposed to realize the rapid estimation of the optimal threshold. After that, aiming at the reconstruction oscillation and deviation problems of traditional wavelet threshold function, an improved threshold function combining soft and hard threshold features is proposed. To achieve thet continuous smooth transition of function curve in the critical threshold neighborhood, the quality factor parameters in this function are optimized by using a smooth transition number model. Simulation and test experiment results under application scenarios of the partial discharge ultrasonic pulse signal noise reduction in high-voltage equipment suggest that the proposed comprehensive entropy threshold estimation method can approximate the optimal threshold quickly and correctly. Besides, the improved threshold function also intrgrates the advantages of soft and hard threshold function, can suppress reconstruction oscillation and deviation, and further suppression the noise effectively with the premise of original signal’s effective information retaining, showing a good engineering application value.
Key words: noise reduction; threshold estimation; threshold function; comprehensive entropy; partial discharge

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noise reduction / threshold estimation / threshold function / comprehensive entropy / partial discharge

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LIU Zhijian，ZHAO Haoyi，LIU Hang，LUO Linglin，SONG Qi，LI Pengcheng. Noise reduction method for partial discharge signals based on improved threshold estimation and improved threshold function[J]. Journal of Vibration and Shock, 2022, 41(22): 1-13

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