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