Denoising Method for Partial Discharge Signal of Switchgear Based on Continuous Adaptive Wavelet Threshold  

作　　者：Zhuo Wang Xiang Zheng Tiantian Liang 

机构地区：[1]School of Automation and Electrical Engineering,Dalian Jiaotong University,Dalian 116000,Liaoning,China

出　　处：《Journal of Harbin Institute of Technology(New Series)》2022年第4期7-18,共12页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the Liaoning Provincial Department of Education Scientific Research Funding Project(Youth)(Grant No.JDL2020020);the Changzhou City Applied Basic Research Program(Grant No.CJ2020007).

摘　　要：Partial discharge(PD)is an important reason for the insulation failure of the switchgear.In the process of PD detection,PD signal is often annihilated in strong noise.In order to improve the accuracy of PD detection in power plant switchgear,a method based on continuous adaptive wavelet threshold switchgear PD signals denoising is proposed in this paper.By constructing a continuous adaptive threshold function and introducing adjustment parameters,the problems of over⁃processing of traditional hard threshold functions and incomplete denoising of soft threshold functions can be improved.The analysis results of simulated signals and measured signals show that the continuous adaptive wavelet threshold denoising method is significantly better than the traditional denoising method for the PD signal.The proposed method in this paper retains the characteristics of the original signal.Compared with the traditional denoising methods,after denoising the simulated signals,the signal⁃to⁃noise ratio(SNR)is increased by more than 30%,and the root⁃mean⁃square error(RMSE)is reduced by more than 30%.After denoising the real signal,the noise suppression ratio(NRR)is increased by more than 40%.The recognition accuracy rate of PD signal has also been improved to a certain extent,which proves that the method has a certain practicability.

关 键 词：SWITCHGEAR partial discharge wavelet threshold function DENOISING 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]