Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation

2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010

Volumn , Issue , 2010, Pages 310-315

  Amirat, Y ^a   Choqueuse, V ^a   Benbouzid, M E H ^a  

^a UNIVERSITÉ DE BRETAGNE OCCIDENTALE   (France)

Author keywords

amplitude modulation; DFIG; diagnosis; fault detection; Hilbert transform; Wind turbine

Indexed keywords

DFIG; DOUBLY-FED INDUCTION GENERATOR; EARLY DETECTION; ELECTRIC POWER STATIONS; FAILURE DETECTION; FOCAL POINTS; GENERATOR CURRENT; GENERATOR STATORS; HILBERT TRANSFORM; HILBERT TRANSFORMATIONS; MAINTENANCE COST; NONSTATIONARY; RENEWABLE ENERGY SOURCE; WIND ENERGY CONVERSION SYSTEM;

ASYNCHRONOUS GENERATORS; CONDITION MONITORING; COST REDUCTION; ENERGY CONVERSION; FAULT DETECTION; HILBERT SPACES; MAINTENANCE; MATHEMATICAL TRANSFORMATIONS; METADATA; WIND POWER; WIND TURBINES;

ELECTRIC FAULT CURRENTS;

EID: 79958245656     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ENERGYCON.2010.5771697     Document Type: Conference Paper

References (11)

1. Y. Amirat, M. Benbouzid and E. Al-Ahmar, "A brief status on condition monitoring and fault diagnosis in wind energy conversion systems," Renewable & Sustainable Energy Reviews, vol. 3, no 9, pp. 2629-2636, December 2009.
2. E. Al-Ahmar, M.E.H. Benbouzid and Y. Amirat, "DFIG-based wind turbine fault diagnosis using a specific discrete wavelet transform," in Proceedings of ICEM'08 (International Conference on Electrical Machines), Vilamoura (Portugal), September 2008.
3. W.Q. Jeffries, J.A. Chambers, and D.G. Infield, "Experience with bicoherence of electrical power for condition monitoring of wind turbine blades," IEE Proc Vision, Image & Signal Processing, vol. 145, no 3, pp. 141-148, June 1998. (Pubitemid 128732209)
4. S. Rajagopalan, J. A. Restrepo, J. Aller, T. Habetler, and R. Harley, "Non stationary motor fault detection using recent quadratic time frequency representations," IEEE Trans. Industry Applications, vol. 44, no 3, pp. 735-744, May/June2008. (Pubitemid 351796120)
5. M. Blodt, D. Bonacci, J. Regnier, M. Chabert, and J. Faucher, "Online monitoring of mechanical faults in variable-speed induction motor drives using the Wigner distribution," IEEE Trans. Industrial Electronics, vol. 55, no 2, pp., 522-533, February 2008. (Pubitemid 351344225)
6. M. Riera-Guasp, J. Antonio-Daviu, J. Roger-Folch, and M. P. M. Palomares, "The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failure," IEEE Trans. Industry Applications, vol. 44, no 3, pp. 716-726, May/June2008. (Pubitemid 351796118)
7. M. Blodt, J. Regnier, and J. Faucher, "Distinguishing load torque oscillations and eccentricity faults in induction motors using stator current Wigner distributions," IEEE Trans. Industry Applications, vol. 45, no 6, pp. 1991-2000, November/December 2009.
8. A. Oppenheim, R. Schafer and W. Padgett. Discrete-Time Signal Processing, 3rd Ed. Prentice Hall, 2009.
9. P. Maragos, J. Kaiser, and T. Quartieri, "On amplitude and frequency demodulation using energy operators," IEEE Trans. Signal Processing, vol. 41, no 4, pp. 1532-1550, April 1993.
10. B. Trajin, M. Chabert, J. Regnier, and J. Faucher, "Hilbert versus Concordia transform for three phase machine stator current time-frequency monitoring," Mechanical Systems & Signal Processing, vol. 23, pp. 2648-2657, 2009.
11. I. Önel and M. Benbouzid, "Induction motor bearing failure detection and diagnosis: Park and Concordia transform approaches comparative study," IEEE/ASME Trans. Mechatronics, vol. 13, no2, pp. 257-262, April 2008. (Pubitemid 351649911)