Degradation assessment and fault diagnosis for roller bearing based on AR model and fuzzy cluster analysis

Shock and Vibration

Volumn 18, Issue 1-2, 2011, Pages 127-137

  Jiang, Lingli ^a   Liu, Yilun ^a   Li, Xuejun ^b   Chen, Anhua ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

AR mode; Degradation assessment; Fault diagnosis; Fuzzy cluster analysis; Higher order statistics

Indexed keywords

BEARINGS (STRUCTURAL); DEGRADATION; FEATURE EXTRACTION; FUZZY CLUSTERING; GAUSSIAN NOISE (ELECTRONIC); RATING; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS);

AR MODE; DEGRADATION ASSESSMENT; FAULT DIAGNOSIS; FUZZY CLUSTER ANALYSIS; HIGHER ORDER STATISTICS;

CLUSTER ANALYSIS;

EID: 79951650788     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.3233/SAV-2010-0572     Document Type: Conference Paper

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