A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features

Mechanical Systems and Signal Processing

Volumn 52-53, Issue 1, 2015, Pages 293-308

  Wang, Dong ^a   Sun, Shilong ^a   Tse, Peter W ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bearing; Fault diagnosis; Monte Carlo methods; Optimization; Vibrations; Wavelet transforms

Indexed keywords

BANDWIDTH; BAYESIAN NETWORKS; BEARINGS (STRUCTURAL); FAILURE ANALYSIS; OPTIMIZATION; PROBABILITY; PROBABILITY DENSITY FUNCTION; STATE SPACE METHODS; WAVELET TRANSFORMS; FAULT DETECTION;

BAYESIAN APPROACHES; DIFFERENT WAVELETS; ON-LINE ESTIMATES; POSTERIOR PROBABILITY; SEQUENTIAL MONTE CARLO METHODS; STATE - SPACE MODELS; VIBRATIONS; WAVELET PARAMETERS;

MONTE CARLO METHODS;

EID: 84923027945     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2014.07.005     Document Type: Article

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