Induction motors bearing failures detection and diagnosis using a RBF ANN park pattern based method

International Review of Electrical Engineering

Volumn 3, Issue 1, 2008, Pages 159-165

  Yilmaz Önel, Izzet ^a   Benbouzid, Mohamed El Hachemi ^b  

^a Serenlikuyu Mevkii Muallimköy   (Turkey)

^b UNIVERSITÉ DE BRETAGNE OCCIDENTALE   (France)

Author keywords

Bearing failure; Diagnosis; Induction motor; Neural networks; Park transform

Indexed keywords

EID: 65849105533     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. M.E.H. Benbouzid et al., "What stator current processing based technique to use for induction motor rotor faults diagnosis?," IEEE Trans. Energy Conversion, vol. 18, no 2, pp. 238-244, June 2003.
2. O.V. Thorsen et al., "Failure analysis for high-voltage induction motors in the petrochemical industry," IEEE Trans. Industry Applications, vol. 35, no 4, pp. 810-818, July-August 1999.
3. J. Riddle, Ball Bearing Maintenance. Norman, OK: Univ. of Oklahoma Press, 1955.
4. P. Eschnumn et al., Ball and Roller Bearings: Their Theory, Design, and Application. K.G. Heyden: London, 1958
5. T. Harris, Rolling Bearing Analysis. Wiley: New York, 2001.
6. R.F. Schiferl et al., "Bearing current remediation options," IEEE Industry Applications Magazine, vol. 10, no 4, pp.40-50, July-August 2004.
7. N. Tandon et al., "A review of the vibration and acoustic measurement methods for detection of defects in rolling element bearings," Tribology International, vol. 32, no 8, pp. 469-480, 1999.
8. N. Tandon et al., "A comparison of some condition monitoring techniques for the detection of defects in induction motor ball bearings," Mechanical Systems and Signal Processing, 2005.
9. R.R. Schoen et al., "Motor bearing damage detection using stator current monitoring", IEEE Trans. Industry Applications, vol. 31, no 6, pp. 1274-1279, November-December 1995.
10. A.M. Knight et al., "Mechanical fault detection in a medium-sized induction motor using stator current monitoring," IEEE Trans. Energy Conversion, vol. 20, no 4, pp. 753-760, December 2005.
11. B. Yazici et al., "An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current," IEEE Trans. Industry Applications, vol. 35, no 2, pp. 442-452, March-April 1999.
12. L. Eren et al., "Bearing damage detection via wavelet packet decomposition of the stator current" IEEE Trans. Instrumentation and Measurement, vol. 53, no 2, pp. 431-436, April 2004.
13. B. Li et al., "Neural-network based motor rolling bearing fault diagnosis," IEEE Trans. Industrial Electronics, vol. 47, no 5, pp. 1060-1068, October 2000.
14. M.E.H. Benbouzid et al., "Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach," IEEE Trans. Industry Applications, vol. 36, no 3, pp. 730-735, May-June 2000.
15. J.L.H. Silva et al., "Bearing failures in three-phase induction motors by extended Park's vector approach" in Proceedings of the IEEE IECON'05, Raleigh, NC (USA), pp. 2591-2596, November 2005.
16. M.E.H. Benbouzid et al., "Induction motor stator faults diagnosis by a current Concordia pattern based fuzzy decision system," IEEE Trans. Energy Conversion, vol. 18, no 4, pp. 469-475, December 2003.
17. M.Y Chow, Methodologies of Using Neural Network and Fuzzy Logic for Motor Incipient Fault Detection, Singapore: World Scientific, 1997.
18. F. Filippetti et al., "Recent developments of induction motor drives fault diagnosis using Al techniques," IEEE Trans. Industrial Electronics, vol. 47, no 5, pp. 994-1004, October 2000.
19. J.A. Leonard et al., "Radial basis function networks for classifying process faults," IEEE Control Systems, vol. 11, no 3, pp. 31-38, 1991.
20. S. Wu et al., "Induction machine fault detection using SOM-based RBF neural networks," IEEE Trans. Industrial Electronics, vol. 51, no 1, pp. 183-194, February 2004.
21. K. Kim et al., "Sensorless fault diagnosis of induction motors," IEEE Trans. Industrial Electronics, vol. 50, no 5, pp. 1038-1051, October 2003.
22. J.R. Stack et al., "experimentally generating faults in rolling element bearings via -shaft current," IEEE Trans. Industry Applications, vol. 41, no 1, pp. 25-29, January-February 2005.