Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines

Mechanical Systems and Signal Processing

Volumn 20, Issue 7, 2006, Pages 1523-1536

  Rojas, Alfonso ^a   Nandi, Asoke K ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Condition monitoring; Support vector machines

Indexed keywords

ALGORITHMS; CONDITION MONITORING; DATA REDUCTION; DEFECTS; OPTIMIZATION; VIBRATIONS (MECHANICAL);

CLASSIFICATION PROCEDURE; ROLLING-ELEMENT BEARING FAULTS; SEQUENTIAL MINIMAL OPTIMIZATION (SMO) ALGORITHM; SUPPORT VECTOR MACHINES; VIBRATION DATA;

BEARINGS (MACHINE PARTS);

EID: 33646512202     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2005.05.002     Document Type: Article

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