Support vector machines for detection and characterization of rolling element bearing faults

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 215, Issue 9, 2001, Pages 1065-1074

  Jack, L B ^a   Nandi, A K ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Condition monitoring; Neural networks; Support vector machines

Indexed keywords

CHARACTERIZATION; MACHINE COMPONENTS; MONITORING; ROTATING MACHINERY; STATISTICAL METHODS; VIBRATION CONTROL;

ARTIFICIAL NEURAL NETWORKS (ANNS);

MECHANICAL ENGINEERING;

DETECTION METHOD; FAULT DIAGNOSIS; NEURAL NETWORK; ROLLING BEARING;

EID: 0035153670     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/0954406011524423     Document Type: Article

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