Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference (한국전기전자재료학회:학술대회논문집)
- 2005.07a
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- Pages.566-567
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- 2005
Comparison of Classification rate of PD Sources
부분방전원 분류기법의 패턴분류율 비교
- Park, Seong-Hee (Chungbuk National Univ.) ;
- Lim, Kee-Joe (Chungbuk National Univ.) ;
- Kang, Seong-Hwa (Chungcheong Univ.)
- Published : 2005.07.07
Abstract
Until now variable pattern classification methods have been introduced. So, variable methods in PD source classification were applied. NN(neural network) the most used scheme as a PD(partial discharge) source classification. But in recent year another method were developed. These methods is present superior to NN in the field of image and signal process function of classification. In this paper, it is show classification result in PD source using three methods; that is, BP(back-propagation), ANFIS(adaptive neuro-fuzzy inference system), PCA-LDA(principle component analysis-linear discriminant analysis).