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Comparison of Classification Rate Between BP and ANFIS with FCM Clustering Method on Off-line PD Model of Stator Coil

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  );
  • 초록

    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 PD detector. And then statistical distributions are calculated to classify model discharge sources. These statistical distributions were applied as input data of two classification tools, BP(Back propagation algorithm) and ANFIS(adaptive network based fuzzy inference system) pre-processed FCM(fuzzy c-means) clustering method. So, classification rate of BP were somewhat higher than ANFIS. But other items of ANFIS were better than BP; learning time, parameter number, simplicity of algorithm.


  • 주제어

    Partial discharge .   BP .   ANFIS .   Clustering .   Classification.  

  • 참고문헌 (6)

    1. F. H. Kreuger, E. Gulski and A. Krivda, 'Classification of Partial Discharge', IEEE Trans., EI, Vol. 28, pp. 917-931, 1993 
    2. A. Mazrouna, M.M.A. Salama and R. Bartnikas, 'PD Pattern Recognition with Neural Networks', IEEE Trans., EI, Vol. 25, pp. 917-931, 2002 
    3. 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 
    4. 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 
    5. J-S.R. Jang, C-T. Sun and E. Mitzutany, 'Neuro-Fuzzy and Soft Computering', Prentice-Hall International, Inc 
    6. 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 

 저자의 다른 논문

  • Park Seong-Hee (4)

    1. 2005 "Step-down Piezoelectric Transformer Using PZT PMNS Ceramics" KIEE international transactions on electrophysics and applications c5 (3): 102~110    
    2. 2005 "Off-line PD Model Classification of Traction Motor Stator Coil Using BP" KIEE international transactions on electrophysics and applications c5 (6): 223~227    
    3. 2006 "Characteristics of π-shaped Ultrasonic Motor" Journal of electrical engineering & technology 1 (2): 241~245    
    4. 2006 "Comparison of Classification Rate for PD Sources using Different Classification Schemes" Journal of electrical engineering & technology 1 (2): 257~262    
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