A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection

Knowledge-Based Systems

Volumn 116, Issue , 2017, Pages 1-12

  Wei, Zexian ^a   Wang, Yanxue ^a   He, Shuilong ^a   Bao, Jiading ^a  

^a GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

Author keywords

Adaptive feature selection; Affinity propagation; Intelligent fault diagnosis; Rolling element bearing

Indexed keywords

BEARINGS (MACHINE PARTS); CLUSTERING ALGORITHMS; FAILURE ANALYSIS; FEATURE EXTRACTION; ROLLER BEARINGS; WAVELET DECOMPOSITION;

ADAPTIVE FEATURE SELECTION; AFFINITY PROPAGATION; AFFINITY PROPAGATION CLUSTERING; CURSE OF DIMENSIONALITY; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); INTELLIGENT FAULT DIAGNOSIS; ROLLING ELEMENT BEARING; WAVELET PACKET TRANSFORM(WPT);

FAULT DETECTION;

EID: 85006307176     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2016.10.022     Document Type: Article

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