Incipient bearing fault detection via wind generator stator current and wavelet filter

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2010, Pages 2615-2620

  Gong, Xiang ^a   Qiao, Wei ^a   Zhou, Wei ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Market Strategy and Resource Planning   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEARING FAULT; BEARING FAULT DETECTION; ELECTRIC MACHINES; INDUCTION MACHINES; ROTATING MACHINE; STATOR CURRENT SIGNAL; STATOR CURRENTS; SYSTEM RELIABILITY; WAVELET FILTERS; WIND GENERATORS; WIND TURBINE GENERATORS;

BEARINGS (STRUCTURAL); ELECTRIC FAULT CURRENTS; ELECTRIC MACHINERY; ELECTRIC UTILITIES; INDUSTRIAL ELECTRONICS; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; STATORS; TURBINES; WIND POWER;

FAULT DETECTION;

EID: 78751498736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2010.5675135     Document Type: Conference Paper

References (15)

1. "Report on large motor reliability survey of industrial and commercial installations-Part I," IEEE Trans. Industry Applications, vol. IA-21, no. 4, pp. 853-864, Jul./Aug. 1985.
2. "Report on large motor reliability survey of industrial and commercial installations-Part II," IEEE Trans. Industry Applications, vol. IA-21, no. 4, pp. 865-872, Jul./Aug. 1985.
3. W. Zhou, T. G. Habetler, and R. G. Harley, "Bearing Condition Monitoring Methods for Electric Machines: A General Review," 6th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, IEEE SDEMPED'07, Poland, pp. 3-6, Sept. 6-8, 2007.
4. J. Ribrant and L. M. Bertling, "Survey of failures in wind power systems with focus on Swedish wind power plants during 1997-2005," IEEE Trans. Energy Conversion, vol. 22, no. 1, pp. 167-173, Mar. 2007. (Pubitemid 46487489)
5. J. R. Stack, T. G. Habetler, and R. G. Harley, "Fault classification and fault signature production for rolling element bearings in electric machines," IEEE Trans. Industry Applications, vol. 40, no. 3, pp. 735-739, May/June 2004.
6. H. Zoubek, S. Villwock, and M. Pacas, "Frequency response analysis for rolling-bearing damage diagnosis," IEEE Trans. on Industrial Electronics, vol. 55, no. 12, pp. 4270-4276, Dec. 2008.
7. J. S. Walker, A Primer on Wavelets and their Scientific Applications, Chapman & Hall, 1999.
8. S. H. Kia, H. Henao, G.-A. Capolino, "Diagnosis of broken-bar fault in induction machines using discrete wavelet transform without slip estimation," IEEE Trans. Industry Applications, vol.45, no.4, pp.1395-1404, July/Aug. 2009.
9. M. Riera-Guasp, J. A. Antonino-Daviu, M. Pineda-Sanchez, R. Puche-Panadero, and J. Perez-Cruz, "A general approach for the transient detection of slip-dependent fault components based on the discrete wavelet transform," IEEE Trans. Industrial Electronics, vol. 55, no. 12, pp. 4167-4180, Dec. 2008.
10. M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, and M. P. Molina Palomares, "The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures," IEEE Trans. Industry Applications, vol. 44, no. 3, pp. 716-726, May/Jun. 2008.
11. D. L. Donoho, I. M. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," Journal of American Statistical Association 90, pp: 1200-1224, 1995.
12. W. Zhou, B. Lu, T. G. Habetler, and F. G. Harley, "Incipient bearing fault detection via stator current noise cancellation using Wiener filter," IEEE Trans. Industry Applications, vol. 45, pp. 1309-1317, 2009.
13. S. J. Yang, Low-Noise Electrical Motors, New York: Oxford University Press, 1981, pp. 15-21.
14. I. Daubechies, "Ten lectures on wavelets," Philadelphia: SIAM, 1992.
15. S.G.Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, pp.674-693, July 1989.