Hidden Markov models in bearing fault diagnosis and prognosis

2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010

Volumn 2, Issue , 2010, Pages 364-367

  Zhang, Xing Hui ^a   Kang, Jian She ^a  

^a ORDNANCE ENGINEERING COLLEGE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARING FAULT DIAGNOSIS; DYNAMIC BAYESIAN NETWORK; FAULT DIAGNOSIS; FAULT PROGNOSIS; HIERARCHICAL HIDDEN MARKOV MODELS; INFERENCE ALGORITHM; LIFE PROCESS; PATTERN CLASSIFICATION; REMAINING USEFUL LIVES; ROLLING BEARINGS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DIAGNOSIS; INFERENCE ENGINES; OBJECT RECOGNITION; SPEECH RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 78650986498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CINC.2010.5643712     Document Type: Conference Paper

References (8)

1. Kevin Patrick Murphy. "Hierarchical HMMs". http//www.cs.ubc.ca/ ~murphyk/MLbook/index.html.2002.
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3. Rabiner, LR., "A tutorial on hidden Markov models and selected applications in speech recognition. "Proc. IEEE, 1989, 77, 257-285.
4. Bunks, D. McCarthy, and T. Ani, "condition-based Maintenance of machines Using Hidden Markov Models," Mechanical systems and Signal Processing, Oakland, CA, 14(4):597-612,2000.
5. Shai Fine, Yoram Singer, Naftali Tishby. "The Hierarchical Hidden Markov Model: Analysis and Applications." Machine learning, 32:41, 1998.
6. Kevin Patrick Murphy. "Dynamic Bayesian networks: representation, inference and learning." PhD Thesis, 2002.
7. http://bnt.googlecode.com/p/bnt/.
8. http://www/eecs/cwru/edu/laboratory/bearin