A novel method for online health prognosis of equipment based on hidden semi-Markov model using sequential Monte Carlo methods

Mechanical Systems and Signal Processing

Volumn 32, Issue , 2012, Pages 331-348

  Liu, Qinming ^a   Dong, Ming ^b   Peng, Ying ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Shanghai Jiao Tong University   (China)

Author keywords

Hidden semi Markov model; Joint multi step ahead algorithm; Online prognosis; Prognostic model; Sequential Monte Carlo method

Indexed keywords

CHANGE-POINTS; CONDITION BASED MAINTENANCE; ENVIRONMENTAL CONDITIONS; HEALTH PROGNOSIS; HIDDEN SEMI-MARKOV MODELS; KEY PROCESS; MAINTENANCE COST; ONLINE PROGNOSIS; POTENTIAL APPLICATIONS; PROGNOSTIC MODEL; RECOGNITION ALGORITHM; RELATED RISK; SEQUENTIAL MONTE CARLO METHODS; TIME-SERIES DATA; TRANSITION PROBABILITIES; USEFUL LIFETIME;

HEALTH; MAINTENANCE; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

EQUIPMENT;

EID: 84865017324     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.05.004     Document Type: Article

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