A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion

Neurocomputing

Volumn 171, Issue , 2016, Pages 837-853

  Qu, Jinxiu ^a   Zhang, Zhousuo ^a   Gong, Teng ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Bayesian belief method; Dual tree complex wavelet packet transform; Fault diagnosis; Multiple classifier fusion; Neighborhood rough set

Indexed keywords

CLASSIFIERS; COMPUTER AIDED DIAGNOSIS; FAILURE ANALYSIS; FEATURE EXTRACTION; FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; INFORMATION FUSION; PACKET NETWORKS; PARTIAL DISCHARGES; ROLLER BEARINGS; ROUGH SET THEORY; TIME DOMAIN ANALYSIS; WAVELET TRANSFORMS;

BAYESIAN; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; DIFFERENT GRANULARITIES; DUAL-TREE COMPLEX WAVELETS; MECHANICAL FAULT DIAGNOSIS; MULTIPLE CLASSIFIER FUSION; NEIGHBORHOOD ROUGH SETS;

FAULT DETECTION;

ARTICLE; BAYES THEOREM; CLASSIFICATION; CLASSIFICATION ALGORITHM; CLASSIFIER; DUAL TREE COMPLEX WAVELET PACKET TRANSFORM; MATHEMATICAL COMPUTING; MECHANICAL FAULT DIAGNOSIS; MULTIPLE CLASSIFIER FUSION; NEIGHBORHOOD ROUGH SET; PRIORITY JOURNAL; STATISTICAL CONCEPTS; SUPPORT VECTOR MACHINE; VALIDITY;

EID: 84947036429     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.07.020     Document Type: Article

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