한국전기전자재료학회:학술대회논문집 (Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference)
- 한국전기전자재료학회 2004년도 춘계학술대회 논문집 방전 플라즈마 유기절연재료 초전도 자성체연구회
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- Pages.100-103
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- 2004
GIS 모의결합의 부분방전원 분류
PD Source Classification of Model Specimens for GIS
- Park, Sung-Hee (Chungbuk National University) ;
-
Lim, Kee-Joe
(Chungbuk National University)
;
- Kang, Seong-Hwa (Chungcheong University) ;
- Lee, Chang-Jun (LG industrial co.) ;
- Lee, Hee-Cheol (LG industrial co.)
- 발행 : 2004.05.21
초록
In this paper, BP learning algorithm is studied to apply as a PD source classification in GIS specimens. For occurred partial discharge, three defected models are made; floating particle, surface discharge of spacer, needle to plane. And PD data for discrimination were acquired from PD detector. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.