A comparison study of hidden Markov model and particle filtering method: Application to fault diagnosis for gearbox

Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012

Volumn , Issue , 2012, Pages

  Jia, Yunxian ^a   Sun, Lei ^a   Teng, Hongzhi ^a  

^a ORDNANCE ENGINEERING COLLEGE   (China)

Author keywords

Fault diagnosis; Hidden markov model; Particle filtering method; Vibration signall

Indexed keywords

COMPARISON STUDY; COMPUTATION EFFICIENCY; CONDITION-MONITORING DATA; DATA-DRIVEN MODEL; DETECTION PERFORMANCE; FAULT DIAGNOSIS MODEL; FAULT IDENTIFICATIONS; MONITORED SYSTEMS; PARTICLE FILTERING; RECOGNITION ABILITIES; STATISTICAL MODELS; SYSTEM STATE; VIBRATION SIGNALL;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; CONDITION MONITORING; FAILURE ANALYSIS; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MODELS; SIGNAL FILTERING AND PREDICTION; SYSTEMS ENGINEERING;

FAULT DETECTION;

EID: 84866149929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2012.6228865     Document Type: Conference Paper

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