Classification of partial discharge events in GILBS using probabilistic neural networks and the fuzzy c-means clustering approach

International Journal of Electrical Power and Energy Systems

Volumn 61, Issue , 2014, Pages 173-179

  Su, Ming Shou ^a   Chia, Chung Chu ^a   Chen, Chien Yi ^b   Chen, Jiann Fuh ^c  

^a Department of Electrical Engineering   (Taiwan)

^b NAN JEON UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Discrete wavelet transform; Fuzzy c means clustering approach; Gas Insulated Load Break Switches; Partial discharge; Probabilistic neural networks

Indexed keywords

DEFECTS; DISCRETE WAVELET TRANSFORMS; ELECTRIC SWITCHES; ELECTRIC SWITCHGEAR; FUZZY INFERENCE; FUZZY SYSTEMS; HIGH FREQUENCY TRANSFORMERS; PARTIAL DISCHARGES; SF6 INSULATION; SIGNAL RECONSTRUCTION;

CLASSIFICATION METHODS; FUZZY C MEANS CLUSTERING; GAS INSULATED SWITCHGEAR(GIS); HIGH FREQUENCY CURRENT TRANSFORMERS; LOAD BREAK SWITCHES; MEASURED SIGNALS; PHASE RESOLVED PARTIAL DISCHARGES; PROBABILISTIC NEURAL NETWORKS;

FUZZY NEURAL NETWORKS;

EID: 84898999482     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2014.03.054     Document Type: Article

References (26)

1. A.S. Deshpande, H.A. Mangalvedekar, and A.N. Cheeran Partial discharge analysis using energy patterns Int J Electr Power Energy Syst 53 2013 184 195
2. P.A. Najafi, and S.M. Shahrtash A comprehensive circuit model for partial discharge activities in cable insulation due to electrical treeing Int J Electr Power Energy Syst 44 2013 646 655
3. M.S. Su, J.F. Chen, and Y.H. Lin Phase determination of partial discharge source in three-phase transmission lines using discrete wavelet transform and probabilistic neural networks Int J Electr Power Energy Syst 51 2013 27 34
4. 6 decomposition products and support vector machine IET Sci Meas Technol 6 4 2012 198 204
5. J.C. Hsieh, C.C. Tai, M.S. Su, and Y.H. Lin Identification of partial discharge location using probabilistic neural networks and the fuzzy c-means clustering approach Electric Power Compon Syst 42 1 2014 60 69
6. M. Nafar, T. Niknam, and A. Gheisari Using correlation coefficients for locating partial discharge in power transformer Int J Electr Power Energy Syst 33 3 2011 493 499
7. R.M. Sharkawy, T.K. Abdel-Galil, R.S. Mangoubi, M.M. Salama, and R. Bartnikas Particle identification in terms of acoustic partial discharge measurements in transformer oils IEEE Trans Dielectr Electr Insul 15 6 2008 1649 1656
8. R. Sarathi, and R. Umamaheswari Understanding the partial discharge activity generated due to particle movement in a composite insulation under AC voltages Int J Electr Power Energy Syst 48 2013 1 9
9. S. Biswas, D. Dey, B. Chatterjee, and S. Chakravorti An approach based on rough set theory for identification of single and multiple partial discharge source Int J Electr Power Energy Syst 46 2013 163 174
10. Z.G. Xu, J. Tang, and C.X. Sun Application of complex wavelet transform to suppress white noise in GIS UHF PD signals IEEE Trans Power Deliv 22 3 2008 1498 1504
11. D. Evagorou, A. Kyprianou, P.L. Lewin, A. Stavrou, V. Efthymiou, and A.C. Metaxas et al. Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network IET Sci Meas Technol 4 3 2010 177 192
12. M. Tripathy, R.P. Maheshvari, and H.K. Verma Probabilistic neural network based protection of power transformer IET Electr Power Appl 1 5 2007 793 798 (Pubitemid 47283401)
13. Chang WY, Yang HT. Application of fuzzy c-means clustering approach to partial discharge pattern recognition of cast-resin current transformers. In: 8th Int. Conf. on Properties and applications of Dielectric Materials. 2006:372-5.
14. M.S. Mashikian, and A. Szatkowski Medium voltage cable defects revealed by off-line partial discharge testing at power frequency IEEE Electr Insul Mag 22 4 2006 24 32 (Pubitemid 44363784)
15. S. Birlasekaran, and W.H. Leong Comparison of known PD signals with the developed and commercial HFCT sensors IEEE Trans Power Deliv 22 3 2007 1581 1590
16. M.S. Su, J.F. Chen, and Y.H. Lin Phase determination of partial discharge source in a three-phase transmission line based on high frequency equivalent circuit model and signal detection using HFCT Int Trans Elect Energy Syst 23 1 2013 97 108
17. M.S. Naidu, and V. Kamaraju High voltage engineering 2nd ed. 2003 McGraw Hill New York pp. 335-339
18. X. Zhou, C. Zhou, and I.J. Kemp An improved methodology for application of wavelet transform to partial discharge measurement denoising IEEE Trans Dielectr Electr Insul 12 3 2005 586 594 (Pubitemid 41028280)
19. X. Ma, C. Zhou, and I.J. Kemp Automated wavelet selection and thresholding for PD detection IEEE Electr Insul Mag 18 2 2002 37 45
20. M. Hashmi, M. Lehtonen, M. Nordman, R. Jabbar, and S. Qureshi Wavelet-based denoising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks Int J Electr Power Energy Syst 43 1 2012 1185 1192
21. D.F. Specht Probabilistic neural network Neural Networks 3 1 1990 109 118
22. M.S. Su, J.F. Chen, Y.H. Lin, and C.K. Cheng Identification of partial discharge location in a power cable using fuzzy inference system and probabilistic neural networks Elect Power Compon Syst 40 6 2012 613 627
23. Demuth H, Beale M. Matlab neural network toolbox user's guide. 4th ed. The Math Works Inc; 2004.
24. Matlab. Fuzzy logic toolbox user's guide. The Math Works Inc; 2013.
25. J. Li, R. Liao, S. Grzybowski, and L. Yang Oil-paper aging evaluation by fuzzy clustering and factor analysis to statistical parameters of partial discharges IEEE Trans Dielectr Electr Insul 17 3 2010 756 763
26. MATLAB. Signal processing toolbox user's guide, third printing, The Math Works Inc. 2000: 533-60.