Fault diagnosis of roller bearing based on bispectrum estimation and fuzzy cluster analysis

Applied Mechanics and Materials

Volumn 36, Issue , 2010, Pages 129-134

  Jiang, Ling Li ^a,b   Liu, Yi Lun ^a   Li, Xue Jun ^b   Chen, Anhua ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bispectrum; Data acquisition; Fault diagnosis; Fuzzy clustering; Roller bearing

Indexed keywords

BISPECTRA; BISPECTRUM; BISPECTRUM ANALYSIS; FAULT DIAGNOSIS; FAULT TYPES; FEATURE VECTORS; FUZZY CLUSTER ANALYSIS; FUZZY CLUSTERING ANALYSIS; OBJECTIVE FUNCTIONS; ROLLER BEARING FAULT; SPECTRUM DISTRIBUTION; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); BINARY IMAGES; FAILURE MODES; FUZZY CLUSTERING; FUZZY SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); INSTRUMENTS; MEASUREMENTS; PATTERN RECOGNITION; QUALITY ASSURANCE; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); VIBRATION ANALYSIS;

CLUSTER ANALYSIS;

EID: 78650766274     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.36.129     Document Type: Conference Paper

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