Prediction of machine health condition using neuro-fuzzy and bayesian algorithms

IEEE Transactions on Instrumentation and Measurement

Volumn 61, Issue 2, 2012, Pages 297-306

  Chen, Chaochao ^a   Zhang, Bin ^b   Vachtsevanos, George ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b IMPACT TECHNOLOGIES LLC   (United States)

Author keywords

Bayesian algorithms; machinery condition monitoring; neuro fuzzy systems (NFSs); prediction; recurrent neural networks (RNNs); recurrent NFSs (RNFSs)

Indexed keywords

BAYESIAN ALGORITHMS; BAYESIAN ESTIMATIONS; CARRIER PLATES; DEGREE OF BELIEF; FAULTY BEARINGS; MACHINE FAULTS; MACHINE HEALTH; MACHINERY CONDITION MONITORING; NEURO-FUZZY; NEUROFUZZY SYSTEM; ON-LINE MEASUREMENT; ONLINE MODELS; PARTICLE FILTERING; PREDICTION PERFORMANCE; PRIOR INFORMATION; PROBABILITY DENSITY FUNCTION (PDF); PROGNOSTIC MODEL; RANDOM SAMPLE; REAL TIME; RECURRENT NFSS (RNFSS);

ALGORITHMS; BAYESIAN NETWORKS; ESTIMATION; FORECASTING; FUZZY SYSTEMS; MACHINERY; ONLINE SYSTEMS; PROBABILITY DENSITY FUNCTION; RECURRENT NEURAL NETWORKS;

CONDITION MONITORING;

EID: 84855431793     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2169182     Document Type: Article

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