Application of higher order spectral features and support vector machines for bearing faults classification

ISA Transactions

Volumn 54, Issue , 2015, Pages 193-206

  Saidi, Lotfi ^a   Ben Ali, Jaouher ^a   Fnaiech, Farhat ^a  

^a UNIVERSITY OF TUNIS   (Tunisia)

Author keywords

Bearing defects; Bi spectrum analysis; Feature extraction; Principal component analysis; Receiver operating characteristic; Support vector machine; Vibration analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONDITION MONITORING; ECONOMIC AND SOCIAL EFFECTS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; ROLLER BEARINGS; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS; VIBRATION ANALYSIS;

BEARING DEFECT; BISPECTRUM; EXPERIMENTAL TEST BENCHES; MECHANICAL VIBRATION SIGNALS; MULTI-CLASS SUPPORT VECTOR MACHINES; RECEIVER OPERATING CHARACTERISTIC (ROC) CURVES; RECEIVER OPERATING CHARACTERISTICS; SUPPORT VECTOR MACHINE CLASSIFIERS;

FAULT DETECTION;

EID: 84923655625     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2014.08.007     Document Type: Article

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