Pattern recognition techniques and their applications for automatic classification of artificial partial discharge sources

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 20, Issue 2, 2013, Pages 468-478

  Ma, Hui ^a   Chan, Jeffery ^a   Saha, Tapan K ^a   Ekanayake, Chandima ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

and pattern recognition; artificial neuralnetwork (ANN); fuzzy support vector machine (FSVM); Partial discharge (PD); PD source classification

Indexed keywords

ARTIFICIAL NEURALNETWORK (ANN); FUZZY SUPPORT VECTOR MACHINE (FSVM); KERNEL PRINCIPLE COMPONENT ANALYSIS; PARTIAL DISCHARGE SOURCES; PATTERN RECOGNITION ALGORITHMS; PATTERN RECOGNITION TECHNIQUES; PRINCIPLE COMPONENT ANALYSIS; SOURCE CLASSIFICATION;

ALGORITHMS; DISCRETE WAVELET TRANSFORMS; EQUIPMENT; FEATURE EXTRACTION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

PARTIAL DISCHARGES;

EID: 84877249255     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2013.6508749     Document Type: Article

References (33)

1. F.H.Kreuger, Partial Discharge Detection in HV Equipment, London Butterworth, UK, 1989.
2. E. Gulski and A. Krivda, "Neural network as a tool for recognition of partial discharges", IEEE Trans. Electr. Insul., Vol. 28, No.6, pp.984-1001, 1993.
3. A. Krivda, "Automated Recognition of Partial Discharges", IEEE Trans. Dielectr. Electr. Insul., Vol. 2, No.5, pp.796-821, 1995.
4. E.Gulski, "Digital Analysis of Partial Discharge", IEEE Trans. Dielectr. Electr. Insul., Vol. 2, pp. 822-837, 1995.
5. L. Satish and W.S. Zaengl, "Can Fractal Features be Used for Recognizing 3-D Partial Discharge Patterns", IEEE Trans. Dielectr. Electr. Insul., Vol. 2, No.3, pp. 352-359, 1995.
6. A. Krivda and D. Birtwhistle, "Recognition of Multiple Partial Discharge Patterns", Eleventh International Symposium on High Voltage Engineering (Conf. Publ. No. 467), Vol.5, pp. 17-20, 1999.
7. A. Contin, G.C. Montanari, and C. Ferraro, "PD Source Recognition by Weibull Processing of Pulse-Height Distributions", IEEE Trans. Dielectr. Electr. Insul., Vol. 7, No. 1, pp.48-58, February, 2000. (Pubitemid 30580880)
8. IEC International Standard 60270, High-Voltage Test Techniques-Partial Discharge Measurements, Int'l. Electrotechnical Commission (IEC), 3rd edition, 2000.
9. A. Contin, A. Cavallini, G.C. Montanari, and G. Pasini, "Digital Detection and Fuzzy Classification of Partial Discharge Signals", IEEE Trans. Dielectr. Electr. Insul., Vol. 9, No.3, pp. 335-348, 2002.
10. R. Bartnikas, "Partial Discharges: Their Mechanism, Detection and Measurement", IEEE Trans. Dielectr. Electr. Insul., Vol. 9, No.5, pp. 763-808, 2002. (Pubitemid 35465655)
11. M.M.A. Salama and R. Bartnikas, "Determination of Neural-Network Topology for Partial Discharge Pulse Pattern Recognition", IEEE Trans. Neural Network, Vol. 13, No.2, pp. 446-456, 2002. (Pubitemid 34475045)
12. G.C. Stone, "Partial Discharge Diagnostics and Electrical Equipment Insulation Condition Assessment", IEEE Trans. Dielectr. Electr. Insul., Vol. 12, No.5, pp. 891-903, 2005.
13. N.C. Sahoo, M.M.A. Salama, and R. Bartnikas, "Trends in Partial Discharge Pattern Classification: A Survey", IEEE Trans. Dielectr. Electr. Insul., Vol. 12, No.2, pp. 248-264, 2005. (Pubitemid 40850566)
14. H. Zhang, T.R. Blackburn, B.T. Phung, and D. Sen, "A Novel Wavelet Transform Technique for On-line Partial Discharge Measurements, Part 1: WT De-noising Algorithm", IEEE Trans. Dielectr. Electr. Insul., Vol. 14, No. 1, pp. 3-14, 2007. (Pubitemid 46375876)
15. A.M. Gaouda, A. EI-Hag, T.K. Adbel-Galil, M.M.A. Salama, and R. Bartnikas, "On-Line Detection and Measurement of Partial Discharge Signals in a Noisy Environment", IEEE Trans. Dielectr. Electr. Insul., Vol. 15, No.4, pp. 1162-1173, 2008.
16. S.M. Strachan, S. Rudd, S.D.J. McArthur, and M.D. Judd, "Knowledge-Based Diagnosis of Partial Discharges in Power Transformers", IEEE Trans. Dielectr. Electr. Insul., Vol. 15, No. 1, pp. 259-268, 2008. (Pubitemid 351225220)
17. A. Rizzi, F. Mascioli, F. Baldini, C. Mazzetti, and R. Bartnikas, "Genetic Optimization of a PD Diagnostic System for Cable Accessories", IEEE Trans. Power Delivery, Vol. 24, No.3, pp. 1728-1738, 2009.
18. A. Contin and S. Pastore, "Classification and Separation of Partial Discharge Signals by Means of Their Auto-correlation Function Evaluation", IEEE Trans. Dielectr. Electr. Insul., Vol. 16, No.6, pp. 1609-1622, 2009.
19. H. Al-Marzouqi and A. Contin, "Separation of Multiple Sources in PD Measurements Using an Intensity Based Clustering Algorithm", 2010 IEEE International Symposium on Electrical Insulation, pp. 1-4, San Diego, USA 2010.
20. N.Kuljaca, S.Meregalli, A.Contin, and A.Ukovich, "Separation of Multiple Sources in PD Measurements Using An Amplitude-Frequency Relation Diagram", IEEE 10th Int'l. Conf. Solid Dielectrics (ICSD), pp.1-4, Potsdam, Germany, 2010.
21. D. Evagorou, A. Kyprianou, P.L. Lewin, A. Stavrou, V. Efthymiou, A. C.Metaxas, and G.E.Georghiou, "Feature Extraction of Partial Discharge Signals Using the Wavelet Packet Transform and Classification with a Probabilistic Neural Network", IET Sci. Meas. Technol., Vol.4, pp. 177-192, 2010.
22. L. Hao and P.L. Lewin, "Partial Discharge Source Discrimination Using a Su1ort Vector Machine", IEEE Trans. Dielectr. Electr. Insul., Vol. 17, No., pp. 189-197, 2010.
23. L. Hao, P.L. Lewin, J.A. Hunter, D.J. Swaffield, A. Contin, C. Walton, and M. Michel, "Discrimination of Multiple PD Sources Using Wavelet Decomposition and Principal Component Analysis", IEEE Trans. Dielectr. Electr. Insul., Vol. 18, No.5, pp. 1702-1711, 2011.
24. C.M.Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
25. AK. Jain, R.P.W. Duin, and J. Mao, "Statistical Pattern Recognition: A review", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, pp. 4-37, 2000. (Pubitemid 32132953)
26. C.-F. Lin and S.-D. Wang, "Fuzzy Support Vector Machines", IEEE Trans. Neural Networks, Vol.13, pp. 464-471, 2002. (Pubitemid 34475047)
27. G. Hinton and S. Roweis, "Stochastic Neighbor Embedding", Advances in Neural Information Processing Systems, Vol. 15, pp. 833-840, 2002.
28. I.T.Nabney, NETLAB: Algorithms for Pattern Recognition, Springer, 2004.
29. CM. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
30. J. Demsar, "Statistical Comparisons of Classifiers over Multiple Data Sets", J. Machine Learning Research, Vol.7, pp.1-30, 2006. (Pubitemid 43022939)
31. D. Salomon, G. Motta, and D. Bryant, Data compression: the Complete Reference (4th edition), Springer, 2007.
32. R. Batuwita and V. Palade, "FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalanced Learning", IEEE Trans. Fuzzy Systems, vol. 18, pp. 558-571, 2010.
33. C.-C.Chang and C.-J.Lin, "LIBSVM: a library for support vector machines", available: http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2012.