Application of artificial intelligence techniques to the study of machine signatures

Proceedings - 2012 20th International Conference on Electrical Machines, ICEM 2012

Volumn , Issue , 2012, Pages 2390-2396

  Chen, W Y ^a   Xu, J X ^a   Panda, S K ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; BEARING FAULT; DETECTION AND DIAGNOSIS; ERROR RATE; FAULT MODES; FREQUENCY DOMAINS; MACHINE OPERATION; MULTI-CLASS SUPPORT VECTOR MACHINES; VIBRATION SIGNATURE;

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; ELECTRIC MACHINERY; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS;

SUPPORT VECTOR MACHINES;

EID: 84870820716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICElMach.2012.6350218     Document Type: Conference Paper

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