DocumentCode :
3392427
Title :
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
Link To Document :
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