CNC machine tools wear diagnostic and prognostic by using dynamic Bayesian networks

Mechanical Systems and Signal Processing

Volumn 28, Issue , 2012, Pages 167-182

  Tobon Mejia, D A ^a,b   Medjaher, K ^a   Zerhouni, N ^a  

^a FEMTO ST INSTITUTE   (France)

^b ALSTOM   (France)

Author keywords

Condition based maintenance; Diagnostic; Hidden Markov Models; Prognostic; Remaining useful life; Tool wear

Indexed keywords

CONDITION BASED MAINTENANCE; DIAGNOSTIC; PROGNOSTIC; REMAINING USEFUL LIVES; TOOL WEAR;

BAYESIAN NETWORKS; COMPUTER CONTROL SYSTEMS; HEALTH; HIDDEN MARKOV MODELS; LEARNING ALGORITHMS;

CONDITION MONITORING;

EID: 84857368939     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.10.018     Document Type: Article

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