Rolling element bearing fault recognition approach based on fuzzy clustering bispectrum estimation

Shock and Vibration

Volumn 20, Issue 2, 2013, Pages 213-225

  Liu, W Y ^a   Han, J G ^a  

^a JIANGSU NORMAL UNIVERSITY   (China)

Author keywords

bearing fault; bispectrum estimation; Fault recognition; fuzzy clustering

Indexed keywords

BINARY IMAGES; CLUSTER ANALYSIS; COMPUTER AIDED DIAGNOSIS; DATA MINING; FAULT DETECTION; PATTERN RECOGNITION; ROLLER BEARINGS; SAMPLING; VIBRATIONS (MECHANICAL);

BEARING FAULT; BEARING FAULT RECOGNITION; BINARY FEATURES; BISPECTRA; BISPECTRUM ESTIMATION; FAULT RECOGNITION; FEATURE IMAGES; ROLLING ELEMENT BEARING; TEST SAMPLES; TRAINING SAMPLE;

FUZZY CLUSTERING;

EID: 84876382994     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2013/241937     Document Type: Article

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