Method for suppressing random pulse interference of partial discharge based on fuzzy clustering

Author

Guan Hong ; Shao Yuying ; Qian Yong ; Sheng Gehao ; Jiang Xiuchen

Author_Institution

Electr. Power Res. Inst., Shanghai Municipal Electr. Power Co., Shanghai, China

fYear

2012

fDate

18-20 Sept. 2012

Firstpage

1

Lastpage

4

Abstract

In order to suppress random pulse interference in field detection of partial discharge in power equipments, pulse features is extracted using equivalent time-frequency analysis. Based on adaptive fuzzy clustering of the features, concentration degree of phases is used as the indicator to distinguish partial discharge signal from pulse interference. The results of field data analysis indicate that our method can effectively remove random pulse interference in partial discharge signal. This study provides good theoretical and practical basis for insulation state assessment in power equipments.

Keywords

data analysis; feature extraction; fuzzy systems; insulation; interference suppression; partial discharges; pattern clustering; power apparatus; signal detection; time-frequency analysis; adaptive fuzzy clustering; equivalent time-frequency analysis; field data analysis; insulation state assessment; partial discharge signal detection; phases concentration degree; power equipment; pulse feature extraction; random pulse interference suppression; Clustering algorithms; Interference; Partial discharges; Standards; Time-domain analysis; Time-frequency analysis; adaptive fuzzy clustering; partial discharge; random pulse interference Introduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2012 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4577-1599-0

Type

conf

DOI

10.1109/PEAM.2012.6612544

Filename

6612544