DocumentCode
3608813
Title
An overview of state-of-the-art partial discharge analysis techniques for condition monitoring
Author
Min Wu ; Hong Cao ; Jianneng Cao ; Hai-Long Nguyen ; Gomes, Joao Bartolo ; Krishnaswamy, Shonali Priyadarsini
Author_Institution
Data Analytics Dept., Inst. for Infocomm Res., Singapore, Singapore
Volume
31
Issue
6
fYear
2015
Firstpage
22
Lastpage
35
Abstract
As one step toward the future smart grid, condition monitoring is important to facilitate the reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the power grid are caused by electrical insulation failure, and a key indicator of such electrical failure is the occurrence of partial discharge (PD). Therefore, one focus of condition monitoring is to detect PD, especially in the early stages, to prevent a serious power failure or outage.
Keywords
condition monitoring; insulation; partial discharges; power system reliability; smart power grids; Condition Monitoring; PD; electrical insulation failure; power failure; smart grid reliability; state-of-the-art partial discharge analysis technique; Acoustic sensors; Current transformers; Discharges (electric); Feature extraction; Oil insulation; Partial discharges; Power transformer insulation; condition monitoring; feature extraction; partial discharge; pattern recognition; sensor;
fLanguage
English
Journal_Title
Electrical Insulation Magazine, IEEE
Publisher
ieee
ISSN
0883-7554
Type
jour
DOI
10.1109/MEI.2015.7303259
Filename
7303259
Link To Document