Prognosis of electrical faults in permanent magnet AC machines using the hidden Markov model

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2010, Pages 2634-2640

  Zaidi, Syed Sajjad H ^a   Zanardelli, Wesley G ^b   Aviyente, Selin ^a   Strangas, E G ^a  

^a Michigan State University   (United States)

^b US Army TARDEC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRICAL FAULTS; ELECTRICAL MACHINE; EXPERIMENTAL OBSERVATION; FAILURE STATE; FAULT DETECTION AND CLASSIFICATION; FAULT-FREE OPERATIONS; HEALTH INDICATORS; HEALTH MONITORING; HISTORICAL DATA; LIMITED DATA; MODEL PARAMETERS; PARAMETER TRAINING; PERMANENT MAGNET AC MACHINES; PROBABILITY DENSITIES; PROBABILITY OF FAILURE; REMAINING USEFUL LIVES; STATE-DEPENDENT; TIME FREQUENCY FEATURES;

AC MOTORS; ALGORITHMS; DIAGNOSIS; ELECTRIC MACHINERY; FAULT DETECTION; INDUSTRIAL ELECTRONICS; MAGNETIC DEVICES; OBJECT RECOGNITION; PERMANENT MAGNETS; PROBABILITY; SPEECH RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 78751532672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2010.5675138     Document Type: Conference Paper

References (38)

1. M. Pineda-Sanchez, M. Riera-Guasp, J. Antonino-Daviu, J. Roger-Folch, J. Perez-Cruz, and R. Puche-Panadero, "Instantaneous frequency of the left sideband harmonic during the start-up transient: A new method for diagnosis of broken bars," IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4557-4570, Nov. 2009.
2. S. 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, vol. 45, no. 4, pp. 1395-1404, July-Aug. 2009.
3. O. Poncelas, J. Rosero, J. Cusido, J. Ortega, and L. Romeral, "Motor fault detection using a rogowski sensor without an integrator," IEEE Transactions on Industrial Electronics, vol. 56, no. 10, pp. 4062-4070, Oct. 2009.
4. R. Supangat, J. Grieger, N. Ertugrul, W. Soong, D. Gray, and C. Hansen, "Investigation of static eccentricity fault frequencies using multiple sensors in induction motors and effects of loading," in 32nd Annual Conference on IEEE Industrial Electronics, IECON, Nov 2006, pp. 958 -963.
5. B. Trajin, J. Regnier, and J. Faucher, "Detection of bearing faults in asynchronous motors using luenberger speed observer," in Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE, nov. 2008, pp. 3073 -3078.
6. A. Lebaroud and G. Clerc, "Classification of induction machine faults by optimal time frequency representations," IEEE Transactions on Industrial Electronics, vol. 55, no. 12, pp. 4290-4298, Dec. 2008.
7. J. Rosero, J. Cusido, A. Garcia, J. Ortega, and L. Romeral, "Study on the permanent magnet demagnetization fault in permanent magnet synchronous machines," in IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on, nov. 2006, pp. 879 -884.
8. P. Neti and S. Nandi, "Stator interturn fault detection of synchronous machines using field current and rotor search-coil voltage signature analysis," IEEE Transactions on Industry Applications, vol. 45, no. 3, pp. 911 -920, May-June 2009.
9. X. Wang, Y. Sun, B. Ouyang, W.Wang, Z. Zhu, and D. Howe, "Transient behaviour of salient-pole synchronous machines with internal stator winding faults," IEE Proceedings - Electric Power Applications, vol. 149, no. 2, pp. 143 -151, Mar 2002.
10. M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, pp. 174-188, 2002.
11. N. Gordon, D. Salmond, and A. Smith, "Novel approach to nonlinear/non-gaussian bayesian state estimation," IEE Proceedings of Radar and Signal Processing, vol. 140, no. 2, pp. 107-113, Apr 1993.
12. M. Orchard and G. Vachtsevanos, "A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine," in Mediterranean Conference on Control & Automation, June 2007, pp. 1-6.
13. T. Wang, J. Yu, D. Siegel, and J. Lee, "A similarity-based prognostics approach for remaining useful life estimation of engineered systems," in International Conference on Prognostics and Health Management, Oct. 2008, pp. 1-6.
14. F. Rufus, S. Lee, and A. Thakker, "Health monitoring algorithms for space application batteries," in International Conference on Prognostics and Health Management, Oct. 2008, pp. 1-8.
15. X. Lou and K. A. Loparo, "Bearing fault diagnosis based on wavelet transform and fuzzy inference," Mechanical Systems and Signal Processing, vol. 18, no. 5, pp. 1077 - 1095, 2004.
16. W. Q. Wang, M. F. Golnaraghi, and F. Ismail, "Prognosis of machine health condition using neuro-fuzzy systems," Mechanical Systems and Signal Processing, vol. 18, no. 4, pp. 813 - 831, 2004.
17. L. Rabiner and B. Juang, "An Introduction to Hidden Markov Models," in IEEE ASSP Magazine, vol. 3, 1986, pp. 4-16.
18. H. Yun, A. Smith, and H. Silverman, "Speech recognition HMM training on reconfigurable parallel processor," in Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines. IEEE Computer Society, 1997, p. 242.
19. B.-W. Min, H.-S. Yoon, J. Soh, Y.-M. Yang, and T. Ejima, "Hand gesture recognition using hidden Markov models," in IEEE International Conference on Systems, Man, and Cybernetics, vol. 5, Oct 1997, pp. 4232-4235 vol.5.
20. L. Heck and J. McClellan, "Mechanical system monitoring using hidden Markov models," in International Conference on Acoustics, Speech, and Signal Processing, ICASSP, Apr 1991, pp. 1697-1700 vol.3.
21. H. Ocak, K. A. Loparo, and F. M. Discenzo, "Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics," in Journal of Sound and Vibration, vol. 302, no. 4-5, May 2007, pp. 951-961.
22. R. Rammohan and M. Taha, "Exploratory investigations for intelligent damage prognosis using hidden Markov models," in IEEE International Conference on Systems, Man and Cybernetics, vol. 2, 2005, pp. 1524-1529.
23. W. Zhou, D. Chakraborty, N. Kowali, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, "Damage classification for structural health monitoring using time-frequency feature extraction and continuous hidden Markov models," in The Forty-First Asilomar Conference on Signals, Systems and Computers, Nov. 2007, pp. 848-852.
24. F. Camci and R. Chinnam, "Hierarchical HMMs for autonomous diagnostics and prognostics," in International Joint Conference on Neural Networks, IJCNN, 2006, pp. 2445-2452.
25. L. Atlas, M. Ostendorf, and G. Bernard, "Hidden Markov models for monitoring machining tool-wear," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 6, 2000, pp. 3887-3890.
26. S. B. Lee, J. Yang, J. Hong, B. Kim, J. Yoo, K. Lee, J. Yun, M. Kim, K. Lee, E. Wiedenbrug, and S. Nandi, "A new strategy for condition monitoring of adjustable speed induction machine drive systems," in IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, Aug 2009, pp. 1 -9.
27. J. Yun, K. Lee, K.-W. Lee, S. B. Lee, and J.-Y. Yoo, "Detection and classification of stator turn faults and high-resistance electrical connections for induction machines," IEEE Transactions on Industry Applications, vol. 45, no. 2, pp. 666 -675, March-April 2009.
28. J. Yun, J. Cho, S. B. Lee, and J.-Y. Yoo, "Online detection of highresistance connections in the incoming electrical circuit for induction motors," Industry Applications, IEEE Transactions on, vol. 45, no. 2, pp. 694 -702, March-April 2009.
29. M. Arkan, D. Perovic, and P. Unsworth, "Online stator fault diagnosis in induction motors," IEE Proceedings Electric Power Applications, vol. 148, no. 6, pp. 537 -547, nov 2001.
30. S. S. H. Zaidi, S. Aviyente, M. Salman, K.-k. Shin, and E. G. Strangas, "Failure prognosis of DC starter motors using hidden Markov models," in IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, Sept 2009, pp. 1-7.
31. C. S. Burrus, R. A. Gopinath, and H. Guo, Introduction to Wavelets and Wavelet Transforms, A Primer. Prentice Hall, 1998.
32. S. Mallat, A Wavelet Tour of Signal Processing, 2nd ed. Academic Press, 1999.
33. P. Dutilleux, "An Implementation of the "algorithme à trous" to Compute the Wavelet Transform," in Wavelets: Time-Frequency Methods and Phase Space, Proceedings of the International Conference. Springer- Verlag, 1987.
34. L. Cohen, Time-Frequency Analysis. Prentice Hall, 1995.
35. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. Wiley-Interscience, Oct 2000.
36. W. Zanardelli, E. Strangas, and S. Aviyente, "Identification of intermittent electrical and mechanical faults in permanent-magnet AC drives based on time-frequency analysis," IEEE Transactions on Industry Applications, vol. 43, pp. 971-980, 2007.
37. E. Strangas, S. Aviyente, and S. Zaidi, "Time frequency analysis for efficient fault diagnosis and failure prognosis for interior permanent magnet AC motors," IEEE Transactions on Industrial Electronics, vol. 55, no. 12, pp. 4191-4199, Dec 2008.
38. S. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," in IEEE Transactions on Signal Processing, vol. 41, 1993, pp. 3397-3415.