research on extraction of partial discharge signals based on wavelet analysis

被引：7
|
作者：
Li, Wenjie [1 ]
机构：
[1] State Grid Elect Power Res Inst, Cable Technol Res Inst, Wuhan, Peoples R China
来源：
ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
partial dscharge; wavelet de-noising;
D O I：
10.1109/ICECT.2009.57
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The suppression of noise is crucial prior to any partial discharge (PD) data analysis in on-line PD measurement. Recent research shows that the Wavelet transform (WT) has achieved good effect in noise rejection in on-line PD detection. This paper presents the vital issues of WT implementation in PD signals extraction, including optimal mother wavelet selection, decomposition level selection, threshold ride determination and thresholding function determination. The noise rejection effect WT de-noising method is proved by simulated and field detected data.
引用
收藏
页码：545 / 548
页数：4
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