DocumentCode
1621666
Title
A Principal Component Analysis Application for Flashover Recognition
Author
Song, Young-Chul ; Han, Byung-Gil ; Kim, Min-Ho ; Choi, Doo-Hyun
Author_Institution
Dept. of Ind. Technol., Purdue Univ., West Lafayette, IN
fYear
2006
Firstpage
1000
Lastpage
1003
Abstract
In this paper, a short-time PCA is used to flashover monitoring. At first, leakage current across a contaminated insulator is measured and digitized using specially designed hardware. PCA is applied to the leakage current of short-time window and the window is slid as time goes. We examine several principal components whether the components is useful to recognize flashover. Through experiments using real leakage data, three principal components are presented and investigated to find an algorithm to recognize flashover
Keywords
flashover; insulator contamination; leakage currents; principal component analysis; flashover monitoring; flashover recognition; insulator contamination; leakage current; principal component analysis; Aging; Covariance matrix; Eigenvalues and eigenfunctions; Flashover; Insulation; Karhunen-Loeve transforms; Leakage current; Polymers; Principal component analysis; Signal processing algorithms; Flashover Recognition; Insulator; PCA(Principal Component Analysis); Variance;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE-ICASE, 2006. International Joint Conference
Conference_Location
Busan
Print_ISBN
89-950038-4-7
Electronic_ISBN
89-950038-5-5
Type
conf
DOI
10.1109/SICE.2006.315738
Filename
4109103
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