The Fingerprint Characteristics of Partial Discharge on Typical Defects in GIS Based on Acoustic Detection

Author

Zhang Weizheng ; Zhang Liang ; Li Junhao ; Li Yanming

Author_Institution

Zhengzhou Power Corp., Zhengzhou, China

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

5

Abstract

Gas insulated switchgear (GIS) is the most important equipment in the power grid. The partial discharge (PD) is the premonitory detection method for the insulation failure. Especially, for insulation condition assessment, the pattern recognition technology of partial discharge in GIS is the most important. Acoustic detection of GIS PD is the effective method and it has long application history. The fingerprint is the base of the pattern recognition. The fingerprint characteristics of partial discharge on three typical defects in GIS based on acoustic detection are studied in this paper. The results provide a test basis for the recognition of PD types and a deeper study of the mechanism of PD.

Keywords

fingerprint identification; gas insulated switchgear; partial discharges; pattern recognition; power grids; GIS; acoustic detection; fingerprint characteristics; gas insulated switchgear; insulation condition assessment; insulation failure; partial discharge; pattern recognition technology; power grid; premonitory detection method; Acoustics; Discharges (electric); Fingerprint recognition; Gas insulation; Partial discharges;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307324

Filename

6307324