Integrated prognosis of AC servo motor driven linear actuator using hidden semi-markov models

2009 IEEE International Electric Machines and Drives Conference, IEMDC '09

Volumn , Issue , 2009, Pages 1408-1413

  Wu, Xin ^a   Li, Yaoyu ^a   Lundell, Thomas D ^b   Guru, Arun K ^b  

^a University of Wisconsin Milwaukee   (United States)

^b ACS Motion Control Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AC SERVO MOTOR; CURRENT MEASUREMENTS; GAUSSIAN PROBABILITY; HEALTH STATUS; HIDDEN SEMI-MARKOV MODELS; INITIAL STATE; LINEAR ACTUATOR; MODEL PARAMETERS; MODIFICATION METHODS; MOTOR DRIVE; PROBABILITY MATRIXES; PROGNOSTIC MODEL; STATE TRANSITION PROBABILITIES; TRAINING ALGORITHMS; UNDERFLOWS; WEAR PROCESS;

AC MOTORS; ACTUATORS; ELECTRIC CURRENT MEASUREMENT; ELECTRIC MACHINERY; HIDDEN MARKOV MODELS; MOTION CONTROL; MOTION ESTIMATION; MOTION PLANNING; MOTORS; PROBABILITY DISTRIBUTIONS;

ELECTRIC DRIVES;

EID: 70349451854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMDC.2009.5075387     Document Type: Conference Paper

References (14)

1. Rabiner, L. R., "Tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, v 77, n 2, Feb, 1989, p 257-286
2. Bunks, C.; McCarthy, D.; Al-Ani, T. "Condition-based maintenance of machines using hidden Markov models," Mechanical Systems &Signal Processing, v 14, n 4, Jul, 2000, p 597-612
3. Baruah, P.; Chinnam, R.B. "HMMs for diagnostics and prognostics in machining processes," International Journal of Production Research, v 43, n 6, Mar 15, 2005, p 1275-1293
4. Ocak, H.; Loparo, K. A.; Discenzo, F. M. "Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics," Journal of Sound and Vibration, v 302, n 4-5, May 22, 2007, p 951-961
5. Dong, M.; He, D. "Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis," European Journal of Operational Research, v 178, n 3, May 1, 2007, p 858-878
6. Chelidze, David; Cusumano, J. P. "A dynamical systems approach to failure prognosis," Journal of Vibration and Acoustics, Transactions of the ASME, v 126, n 1, January, 2004, p 2-8
7. Zanardelli, W. G.; Strangas, E. G.; Khalil, H. K.; Miller, J. M. "Waveletbased methods for the prognosis of mechanical and electrical failures in electric motors," Mechanical Systems and Signal Processing, v 19, n 2, March, 2005, p 411-426
8. Wang, Wenbin "Modelling the probability assessment of system state prognosis using available condition monitoring information," IMA Journal Management Mathematics, v 17, n 3, July, 2006, p 225-233
9. Chen, Argon; Wu, G. S. "Real-time health prognosis and dynamic preventive maintenance policy for equipment under aging Markovian deterioration" International Journal of Production Research, v 45, n 15, August, 2007, p 3351-3379
10. Muller, A.; Suhner, M.; Iung, Benot "Maintenance alternative integration to prognosis process engineering," Journal of Quality in Maintenance Engineering, v 13, n 2, Advances in Degredations Monitoring and Predictive Maintenance, 2007, p 198-211
11. Al-Najjar, B.; Alsyouf, I. "Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making," International Journal of Production Economics, v 84, n 1, Apr 11, 2003, p 85-100
12. Iung, B. "From remote maintenance to MAS-based e-maintenance of an industrial process," Journal of Intelligent Manufacturing, v 14, n 1, Feb., 2003, p 59-82
13. Jensen, F. "An Introduction to Bayesian Networks," UCL Press, London, 1996
14. H. Olsson. Control Systems with Friction. PhD thesis, Lund Institute of Technology, 1996.