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NTIS 바로가기KIEE international transactions on electrophysics and applications, v.5C no.3, 2005년, pp.138 - 142
Park Seong-Hee (School of Electrical and Computer Engineering, Chungbuk National University) , Lim Kee-Joe (School of Electrical and Computer Engineering, Chungbuk National University) , Kang Seong-Hwa (Dept. of fire prevention Engineering, Chungcheong University) , Seo Jeong-Min (School of Electrical and Computer Engineering, Chungbuk National University) , Kim Young-Geun (LS industrial system)
In this paper, we compared recognition rates between NN(neural networks) and clustering method as a scheme of off-line PD(partial discharge) diagnosis which occurs at the stator coil of traction motor. To acquire PD data, three defective models are made. PD data for classification were acquired from...
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Kai Gao and Chengqi Wu, 'PD Pattern Recognition for Stator Bar Models with Six Kinds of Characteristic Vectors Using BP Network'. IEEE Trans. EI, Vol. 9, No. 3, pp. 381-388, 2002
Jyh-Shing Roger Jang, 'ANFIS : Adaptive-Network- Based Fuzzy Inference System', IEEE Trans. On system, Vol. 23, No. 3, pp. 665-675, May/June, 1993
Witold Pedrycz, 'Conditional Fuzzy Clustering in the Design of Radial Basis Function Neural Network', IEEE Trans. on neural network, Vol. 9, 99601 ? 605, July 1998
F. H. Kreuger, E. Gulski and A. Krivda, 'Classification of Partial Discharge', IEEE Trans., EI, Vol. 28, pp. 917-931, 1993
A. Mazrouna, M.M.A. Salama and R. Bartnikas, 'PD Pattern Recognition with Neural Networks', IEEE Trans., EI, Vol. 25, pp. 917-931, 2002
J-S.R. Jang, C-T. Sun and E. Mitzutany, 'Neuro-Fuzzy and Soft Computering', Prentice-Hall International, Inc
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