Diagnosis of mechanical fault signals using continuous hidden Markov model

Journal of Sound and Vibration

Volumn 276, Issue 3-5, 2004, Pages 1065-1080

  Lee, Jong Min ^a   Kim, Seung Jong ^a   Hwang, Yoha ^a   Song, Chang Seop ^b  

^a Korea Institute of Science and Technology   (South Korea)

^b Hanyang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC FAULT LOCATION; MARKOV PROCESSES; MATHEMATICAL MODELS; PATTERN RECOGNITION; ROTORS; SIGNAL PROCESSING; STOCHASTIC CONTROL SYSTEMS;

HIDDEN MARKOV MODEL (HMM); MECHANICAL FAULT SIGNALS; TARGET SYSTEMS;

MECHANICAL ENGINEERING;

EID: 3242733167     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsv.2003.08.021     Document Type: Article

References (8)

1. Rabiner L.R. A tutorial on hidden Markov models and selected application in speech recognition. Proceedings of the IEEE. 77:1989;257-286.
2. Smyth P. Hidden Markov models for fault detection in dynamic systems. Pattern Recognition. 27:1994;149-164.
3. Bunks C., McCathy D., Al-Ani T. Condition-based maintenance of machines using hidden Markov models. Mechanical Systems and Signal Processing. 14:2000;597-612.
4. Ertunc H.M., Loparo K.A., Ocak H. Tool wear condition monitoring in drilling operations using hidden Markov models. International Journal of Machine Tools & Manufacture. 41:2001;1348-1363.
5. Kwon K.C., Kim J.H. Accident identification in nuclear power plants using hidden Markov models. Engineering Applications of Artificial Intelligence. 12:1999;491-501.
6. J.M. Lee, S.-J. Kim, Y. Hwang, Mechanical signal analysis using hidden Markov model, Ninth International Congress on Sound and Vibration, Orlando, FL, 2002.
7. Rabiner L.R., Juang B.-H. Fundamentals of Speech Recognition. 1993;Prentice-Hall, Englewood Cliffs, NJ.
8. Gales M.J.G. Semi-tied covariance matrices for hidden Markov models. IEEE Transactions on Speech and Audio Processing. 7:1999;272-281.