EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

Mechanical Systems and Signal Processing

Volumn 41, Issue 1-2, 2013, Pages 667-678

  Amirat, Yassine ^a,b   Choqueuse, Vincent ^b   Benbouzid, Mohamed ^b  

^a Institut Superieur de l'Electronique et du Numerique   (France)

^b UNIVERSITÉ DE BRETAGNE OCCIDENTALE   (France)

Author keywords

Bearing failure; Ensemble empirical mode decomposition; Homopolar current; Induction generator; Stator current; Wind turbine

Indexed keywords

BEARING FAILURES; ELECTRICAL MACHINE; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAILURE DETECTION; GENERATOR STATORS; HOMO-POLAR; STATOR CURRENTS; WIND ENERGY CONVERSION SYSTEM;

ASYNCHRONOUS GENERATORS; ELECTRIC MACHINERY; ELECTRIC UTILITIES; MAINTENANCE; STATORS; WIND POWER;

WIND TURBINES;

EID: 84885644600     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.06.012     Document Type: Article

References (34)

1. Y. Amirat, M. Benbouzid, E. Al-Ahmar, B. Bensaker, and S. Turri A brief status on condition monitoring and fault diagnosis in wind energy conversion systems, Renewable and Sustainable Energy Reviews 13 9 2009 2629 2636
2. B. Lu, Y. Li, X. Wu and Z. Yang, A review of recent advances in wind turbine condition monitoring and fault diagnosis, in: Proceedings of the 2009 IEEE PEMWA, Lincoln, USA, pp. 1-7, June 2009.
3. W. Yang, P.J. Tavner, C.J. Crabtree, and M. Wilkinson Cost-effective condition monitoring for wind turbines IEEE Transactions on Industrial Electronics 57 1 2010 263 271
4. M. Benbouzid A review of induction motors signature analysis as a medium for faults detection IEEE Transactions on Industrial Electronics 47 5 2000 984 993
5. J. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sanchez, and R.B. Perez A critical comparison between DWT and Hilbert-Huang-based methods for the diagnosis of rotor bar failures in induction machines IEEE Transactions on Industry Applications 45 5 2009 1794 1803
6. S. Rajagopalan, J.A. Restrepo, J. Aller, T. Habetler, and R. Harley Nonstationary motor fault detection using recent quadratic time frequency representations IEEE Transactions on Industry Applications 44 3 2008 735 744
7. J. Cusido, L. Romeral, J.A. Ortega, J.A. Rosero, and A.G. Espinosa Fault detection in induction machines using power spectral density in wavelet decomposition IEEE Transactions on Industrial Electronics 55 2 2008 633 643
8. M. Blodt, D. Bonacci, J. Regnier, M. Chabert, and J. Faucher On-line monitoring of mechanical faults in variable-speed induction motor drives using the Wigner distribution IEEE Transactions on Industrial Electronics 55 2 2008 522 533
9. B. Tang, W. Liu, and T. Song Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution Renewable Energy 35 12 2010 2862 2866
10. E.H. El Bouchikhi, V. Choqueuse, M.E.H. Benbouzid, J.F Charpentier and G. Barakat, A comparative study of time-frequency representations for fault detection in wind turbine, in: Proceedings of the 2011 IEEE IECON, Melbourne, Australia, pp. 3584-3589, November 2011.
11. P. Zhang, Y. Du, T.G. Habetler, and B. Lu A survey of condition monitoring and protection methods for medium-voltage induction motors IEEE Transactions on Industry Applications 47 1 2011 34 46
12. P.J. Tavner Review of condition monitoring of rotating electrical machines IET Electric Power Applications 2 4 2008 215 247
13. F. Immovilli, A. Bellini, R. Rubini, and C. Tassoni Diagnosis of bearing faults in induction machines by vibration or current signals: A critical comparison IEEE Transactions on Industry Applications 46 4 2010 1350 1359
14. A. Ibrahim, M. El Badaoui, F. Guillet, and F. Bonnardot A new bearing fault detection method in induction machines based on instantaneous power factor IEEE Transactions on Industrial Electronics 55 12 2008 4252 4259
15. Y. Amirat, V. Choqueuse and M.E.H. Benbouzid, Condition monitoring of wind turbines based on amplitude demodulation, in: Proceedings of the 2010 IEEE ECCE'10, Atlanta, USA, pp. 2417-2421, September 2010.
16. J.R. Stack, R.G. Harley, and T.G. Habetler An amplitude modulation detector for fault diagnosis in rolling element bearings IEEE Transactions on Industrial Electronics 51 5 2004 1097 1102
17. L. Frosini, and E. Bassi Stator current and motor efficiency as indicators for different types of bearing fault in induction motor IEEE Transactions on Industrial Electronics 57 1 2010 244 251
18. I. Kamwa, A.K. Pradhan, and G. Joos Robust detection and analysis of power system oscillations using the Teager-Kaiser energy operator IEEE Transactions on Power Systems 26 1 2011 323 333
19. B. Trajin, M. Chabert, J. Regnier, and J. Faucher Hilbert versus Concordia transform for three phase machine stator current time-frequency monitoring Mechanical Systems and Signal Processing 23 8 2009 2648 2657
20. I.Y. Önel, and M.E.H. Benbouzid Induction motor bearing failure detection and diagnosis: Park and Concordia transform approaches comparative study IEEE/ASME Transactions on Mechatronics 13 2 2008 257 262
21. V. Choqueuse, M.E.H. Benbouzid, Y. Amirat, and S. Turri Diagnosis of three-phase electrical machines using multidimensional demodulation techniques IEEE Transactions on Industrial Electronics 59 4 2012 2014 2023
22. W. Zhou, T.G. Habetler, and R.G. Harley Bearing fault detection via stator current noise cancellation and statistical control IEEE Transactions on Industrial Electronics 55 4 2008 4260 4269
23. R. Ricci, and P. Pennacchi Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions Mechanical Systems and Signal Processing 25 3 2011 821 838
24. J.A. Antonino-Daviu, M. Riera-Guasp, J. Pons-Llinares, J. Roger-Folch, R.B. Perez, and C. Charlton-Perez Toward condition monitoring of damper windings in synchronous motors via EMD analysis IEEE Transactions on Energy Conversion 27 2 2012 432 439
25. J.A. Rosero, L. Romeral, J.A. Ortega, and E. Rosero Short-circuit detection by means of empirical mode decomposition and Wigner-Ville distribution for PMSM running under dynamic condition IEEE Transactions on Industrial Electronics 56 11 2009 4534 4547
26. Q. Gao, C. Duan, H. Fan, and Q. Meng Rotating machine fault diagnosis using empirical mode decomposition Mechanical Systems and Signal Processing 22 5 2008 1072 1081
27. Y. Amirat, V. Choqueuse and M.E.H. Benbouzid, Bearing fault detection in DFIG-based wind turbines using the first intrinsic mode function, in: Proceedings of the 2010 ICEM, Rome, Italy, pp. 1-6, September 2010.
28. A. Boudraa, and J.C. Cexus EMD-based signal filtering IEEE Transactions on Instrumentation and Measurement 56 6 2007 2196 2202
29. W. Yang, R. Court, P.J. Tavner, and C.J. Crabtree Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring Journal of Sound and Vibration 330 15 2011 3766 3782
30. X. Hu, S. Peng, and W.-L. Hwang EMD revisited: A new understanding of the envelope and resolving the mode-mixing problem in AM-FM signals IEEE Transactions on Signal Processing 60 3 2012 1075 1086
31. Y. Amirat, V. Choqueuse and M.E.H. Benbouzid, Wind turbine bearing failure detection using generator stator current homopolar component ensemble empirical mode decomposition, in: Proceedings of the 2010 IEEE IECON 2012, Montreal, Canada, pp. 3937-3942, October 2012.
32. Y. Lei, Z. He, and Y. Zi Application of the EEMD method to rotor fault diagnosis of rotating machinery Mechanical Systems and Signal Processing 23 4 2009 1327 1338
33. Z.H. Wu, and N.E. Huang Ensemble empirical mode decomposition: A noise-assisted data analysis method Advances in Adaptive Data Analysis 1 1 2009 1 41
34. A.M. Knight, and S.P. Bertani Mechanical fault detection in a medium-sized induction motor using stator current monitoring IEEE Transactions on Energy Conversion 29 4 2005 753 760