DocumentCode :
2116254
Title :
Partial Discharge Pattern Analysis Based on 2-D Wavelet Transform
Author :
Li, Wenjie ; Luo, Junhua ; Xia, Rong ; Zhao, Jiankang ; Meng, Shaoxin ; Jiang, Yun ; Min, Hong
Author_Institution :
State Grid Electr. Power Res. Inst., Wuhan, China
fYear :
2010
fDate :
28-31 March 2010
Firstpage :
1
Lastpage :
3
Abstract :
Partial discharge (PD) measurement and pattern recognition for insulation defect is an effective tool for condition assessment. The patterns obtained by PD detection system contain characteristic features of the insulation defect. This paper presents a PD experiment of semi-conductor layer tip defect in the joint, and applies a new feature method based on 2-D wavelet decomposition and pattern edge detection. Research shows that this method has robust capability to extract main information from complicated online PD patterns.
Keywords :
partial discharges; pattern recognition; wavelet transforms; 2D wavelet decomposition; 2D wavelet transform; PD detection system; partial discharge pattern analysis; pattern edge detection; robust capability; Data mining; Image edge detection; Insulation; Partial discharge measurement; Partial discharges; Pattern analysis; Pattern recognition; Robustness; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
Type :
conf
DOI :
10.1109/APPEEC.2010.5449350
Filename :
5449350
Link To Document :
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