高压电器2018，Vol.54Issue(3)：17-24,8.DOI:10.13296/j.1001-1609.hva.2018.03.003
基于归一化自相关函数与类小波软阈值法的GIS局放信号降噪方法研究
Partial Discharge Detection for GIS Based on Normalized Autocorrelation Function and Similar Wavelet Soft Threshold
摘要
Abstract
Four typical defects are made in GIS,the UHF partial discharge signals of these defects are acquired,and a denoising method for these UHF PD signals is proposed.The empirical mode decomposition (EMD) is used to decompose the UHF PD signals of the four defects into a finite number of the intrinsic mode function(IMF) components,the cut-off point between the PD signal and the white noise in the IMF component is determined by using the normalized autocorrelation function,and the IMF component with white noise is filtered by using the wavelet soft threshold.Then,all the IMF components are reconstructed to obtain the partial discharge signals.Compared with the wavelet denoising method,the proposed method obtains the UHF PD signals with higher signal-to-noise ratio and slighter waveform distortion.关键词
局部放电/EMD分解/归一化自相关函数/类小波软阈值/特高频信号Key words
partial discharge/empirical mode decomposition/normalized autocorrelation function/similar wavelet soft threshold/ultrahigh frequency signal引用本文复制引用
张艺还,王旭红,郭良,张绍海..基于归一化自相关函数与类小波软阈值法的GIS局放信号降噪方法研究[J].高压电器,2018,54(3):17-24,8.基金项目
湖南省科技计划项目(2015GK3018) （2015GK3018）
湖南省高校创新平台开放基金项目(14K001).Project Supported by Scientific and Technological Projects in Hunan Province(2015GK3018),the Open Fund Project of the Innovation Platform of Hunan Province's Colleges and Universities(14K001). （14K001）
