Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

Engineering Applications of Artificial Intelligence

Volumn 50, Issue , 2016, Pages 287-301

  Li, Chuan ^a   Valente De Oliveira, José ^b   Cerrada, Mariela ^c   Pacheco, Fannia ^e   Cabrera, Diego ^e   Sanchez, Vinicio ^e   Zurita, Grover ^d  

^a CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

^b UNIVERSITY OF ALGARVE   (Portugal)

^c UNIVERSIDAD DE LOS ANDES   (Venezuela)

^d UNIVERSIDAD PRIVADA BOLIVIANA   (Bolivia)

^e UNIVERSIDAD POLITÉCNICA SALESIANA   (Ecuador)

Author keywords

Bearing; Fault detection; Fault diagnosis; Fuzzy clustering; Observer biased clustering; Wavelets packed transform

Indexed keywords

ALGORITHMS; BEARINGS (STRUCTURAL); CONDITION MONITORING; FAILURE ANALYSIS; FAULT DETECTION; FUZZY CLUSTERING; MACHINERY;

BEARING CONDITION MONITORING; BEARING FAULT DIAGNOSIS; CLUSTER FORMATION PROCESS; FAULT DETECTION AND CLASSIFICATION; FUNDAMENTAL COMPONENT; OBSERVER-BIASED CLUSTERING; REALISTIC CONDITIONS; UNBIASED ALGORITHMS;

CLUSTERING ALGORITHMS;

EID: 84960117474     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2016.01.038     Document Type: Article

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