Broken rotor bar diagnosis in induction machines through stationary wavelet packet transform and multiclass wavelet SVM

Electric Power Systems Research

Volumn 97, Issue , 2013, Pages 151-157

  Keskes, Hassen ^a   Braham, Ahmed ^a   Lachiri, Zied ^a,b  

^a UNIVERSITY OF CARTHAGE   (Tunisia)

^b UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

Author keywords

Broken rotor bar; Fault diagnosis; Multiclass SVM; Stationary wavelet packet transform; Wavelet kernel

Indexed keywords

BROKEN ROTOR BAR; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; FAULTY CONDITION; INDUCTION MACHINES; KERNEL FUNCTION; LOW COSTS; MULTI-CLASS; MULTICLASS SVM; SAMPLING RATES; STATIONARY WAVELET; TRAINING AND TESTING; WAVELET KERNEL; WAVELET KERNEL FUNCTIONS; WAVELET SUPPORT VECTOR MACHINES;

DIGITAL SIGNAL PROCESSING; FAILURE ANALYSIS; FEATURE EXTRACTION; INTELLIGENT SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 84873857181     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2012.12.013     Document Type: Article

References (31)

1. W.T. Thomson, and M. Fenger Current signature analysis to detect induction motor faults IEEE Transactions on Industry Applications 7 4 2001 26 34 (Pubitemid 32658373)
2. G.K. Singh, and S. Ahmed Saleh Al Kazzaz Induction machine drive condition monitoring and diagnostic research - a survey Electric Power Systems Research 64 2 2003 145 158 (Pubitemid 35452283)
3. M.E.H. Benbouzid, and G.B. Kliman What stator current processing-based technique to use for induction motor faults diagnosis? IEEE Transactions on Energy Conversion 18 2 2003 238 244
4. S. Nandi, H.A. Toliyat, and X. Li Condition monitoring and fault diagnosis of electrical motors - a review IEEE Transactions on Energy Conversion 20 4 2005 719 729 (Pubitemid 41830047)
5. B. Ayhan, H.J. Trussell, M.Y. Chow, and M.H. Song On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods IEEE Transactions on Industrial Electronics 55 3 2008 1421 1434 (Pubitemid 351447583)
6. A. Braham, and Z. Lachiri Diagnosis of broken bar fault in induction machines using advanced digital signal processing International Review of Electrical Engineering 5 4 2010 1460 1468
7. J.J. Rangel-Magdaleno, R.J. Romero-Troncoso, R.A. Osornio-Rios, E. Cabal-Yepez, and L.M. Contreras-Medina Novel methodology for online half-broken-bar detection on induction motors IEEE Transactions on Instrumentation and Measurement 58 5 2009 1690 1698
8. M. Riera-Guasp, J. Antonino-Daviu, J. Rusek, and J. Roger-Folch Diagnosis of rotor asymmetries in induction motors based on the transient extraction of faults components using filtering techniques Electric Power Systems Research 79 8 2009 1181 1191
9. J. Pons-Llinares, J. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sanchez, and V. Climente-Alarcon Induction motor diagnosis based on a transient current analytic wavelet transform via frequency B-splines IEEE Transactions on Industrial Electronics 58 5 2011 1530 1544
10. T. Boukra, A. Lebaroud, and A. Medued Wavelet network for classification of induction machine faults using optimal time-frequency representation Proceedings of the 7th International Conference on Electrical and Electronics Engineering ELECO'11 Turkey 2011
11. S.H. Kia, H. Henao, and G.A. Capolino Diagnosis of broken-bar fault in induction machines using discrete wavelet transform without slip estimation IEEE Transactions on Industry Applications 45 4 2009 1395 1404
12. J. Cusidó, L. Romeral, J.A. Ortega, A. Garcia, and J.R. Riba Wavelet and PDD as fault detection techniques Electric Power Systems Research 80 8 2010 915 924
13. A. Bouzida, O. Touhami, R. Ibtiouen, A. Belouchrani, M. Fadel, and A. Rezzoug Fault diagnosis in industrial induction machines through discrete wavelet transform IEEE Transactions on Industrial Electronics 58 9 2011 4385 4395
14. R. Kechida, and A. Menacer DWT wavelet transform for the rotor bar detection in induction motor Proceedings of the 2nd International Conference on Electric Power and Energy Conversion Systems EPECS United Arabian Emirates 2011
15. J.R. Millan-Almaraz, R.J. Romero-Troncoso, A. Garcia-Perez, and R.A. Osornio-Rios Wavelet based methodology for broken bar detection in induction motors with variable speed drive Electric Power Components and Systems 39 3 2011 271 287
16. A. Sadeghian, Ye Zhongming, and W. Bin Online detection of broken rotor bars in induction motors by wavelet packet decomposition and artificial neural networks IEEE Transactions on Instrumentation and Measurement 58 7 2009 2253 2263
17. G.F. Bin, J.J. Gao, X.J. Li, and B.S. Dhillon Early fault diagnosis of rotating machinery based on wavelet packets - empirical mode decomposition feature extraction and neural network Mechanical Systems and Signal Processing 27 2012 696 711
18. S. Mallat A Wavelet Tour of Signal Processing. The Sparse Way 2009 Academic Press United States
19. C.S. Burrus, A.R. Gopinath, and H. Guo Introduction to Wavelets and Wavelet Transforms: A Primer 1997 Prentice Hall United States
20. V. Vapnik Statistical Learning Theory 1998 Wiley New York
21. A. Widodo, and B.S. Yang Support vector machine in machine condition monitoring and fault diagnosis Mechanical Systems and Signal Processing 21 1 2007 2560 2574 (Pubitemid 46829756)
22. Y. Shengfa, and C. Fulei Fault diagnosis based on support vector machines with parameter optimisation by artificial immunisation algorithm Mechanical Systems and Signal Processing 21 3 2007 1318 1330
23. A. Widodo, E.Y. Kim, S. Jong-Duk, B.S. Yang, C.C.T. Andy, G. Dong-Sik, C. Byeong-Keun, and M. Joseph Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine Expert Systems with Applications 36 3 2009 7252 7261
24. A. Braham, H. Keskes, and Z. Lachiri Multiclass support vector machines for diagnosis of broken rotor bar faults using advanced spectral descriptors International Review of Electrical Engineering 5 5 2010 2095 2105
25. A. Ilhan, K. Mehmet, and A. Erhan A multi-objective artificial immune algorithm for parameter optimization in support vector machine Applied Soft Computing 11 1 2011 120 129
26. D. Matic, F. Kulic, M. Pineda-Sanchez, and I. Kamenko Support vector machine classifier for diagnosis in electrical machines, application to broken bar Expert Systems with Applications 39 10 2012 8681 8689
27. C.J.C. Burges Geometry and invariance in kernel based methods B. Schölkopf, C.J.C. Burges, A. Smola, Advances in Kernel Methods-Support Vector Learning 1999 MIT Press Cambridge, USA 89 116
28. L. Zhang, W. Zhou, and L. Jiao Wavelet support vector machine IEEE Systems, Man, and Cybernetics Society 34 1 2004 34 39
29. C. Hsu, and C. Lin A comparison of methods for multiclass support vector machines IEEE Transactions on Neural Networks 13 2 2002 415 425 (Pubitemid 34475042)
30. R. Rifkin, and A. Klautau In defense of one-vs-all classification Journal of Machine Learning 5 2004 101 141
31. S. Canu, Y. Grandvalet, V. Guigue, and A. Rakotomamonjy SVM and Kernel Methods Matlab Toolbox, Perception Systèmes et Information 2008 INSA de Rouen France