Title :
Research on Extraction of Partial Discharge Signals Based on Wavelet Analysis
Author_Institution :
Cable Technol. Res. Inst., Wuhan
Abstract :
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 rule determination and thresholding function determination. The noise rejection effect of WT de-noising method is proved by simulated and field detected data.
Keywords :
feature extraction; partial discharge measurement; wavelet transforms; data analysis; decomposition level selection; on-line PD measurement; partial discharge signals; signals extraction; threshold rule determination; thresholding function determination; wavelet analysis; wavelet denoising method; wavelet transform; Discrete wavelet transforms; Filters; Noise measurement; Noise reduction; Partial discharges; Power transformer insulation; Signal analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms; partial dscharge; wavelet de-noising;
Conference_Titel :
Electronic Computer Technology, 2009 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3559-3
DOI :
10.1109/ICECT.2009.57