Denoising different types of acoustic partial discharge signals using power spectral subtraction

作     者：Ramy Hussein Khaled Bashir Shaban Ayman H.El-Hag 

作者机构：Department of Electrical and Computer EngineeringUniversity of British ColumbiaVancouverBCCanada Department of Computer Science and EngineeringQatar UniversityDohaQatar Department of Electrical EngineeringAmerican University of SharjahSharjahUAE 

出 版 物：《High Voltage》 (高电压（英文）)

年 卷 期：2018年第3卷第1期

页      面：44-50页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This work was made possible by NPRP grant 5-044-2-016 from Qatar National Research Fund(a member of Qatar Foundation) 

主　　题：power noise spectral 

摘      要：Measuring acoustic emission(AE)of partial discharge(PD)phenomena can be adopted to estimate the condition of power ***,the environmental noise encountered with AE of PD measurements negatively affects the accuracy of PD localisation and ***,efficient signal denoising techniques are required for noise suppression and hence,better detection *** study deals with white noise and it is a continuation of a previously published work that deals with random *** published work addresses the random noise suppression using a method named,power spectral subtraction denoising(PSSD).This study applies PSSD to the PD signals contaminated with white noise and uses a novel scheme of noise power spectrum density *** types of AE signals are examined including signals produced by corona,surface,parallel,and void *** and real data demonstrate the superiority of the proposed method over the wavelet shrinkage denoising method as it can more effectively eliminate white noise and preserve signals of low signal-to-noise ratio.