Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference (한국전기전자재료학회:학술대회논문집)
- 2003.11a
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- Pages.558-562
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- 2003
PD Classification by Neural Networks in Specimen of XLPE Power Cable
XLPE 전력용 Cable 시편의 부분방전원의 분류
- Park, Sung-Hee (ChungBuk National University) ;
- Park, Jae-Yeol (ChungBuk National University) ;
- Lee, Kang-Won (KRRI) ;
- Kang, Seong-Hwa (Chungcheong college) ;
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Lim, Kee-Joe
(ChungBuk National University)
- Published : 2003.11.13
Abstract
In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. 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.