Detection of induction motor faults by an improved artificial ant clustering

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2011, Pages 3446-3451

  Soualhi, A ^a,b   Clerc, G ^a,b   Razik, H ^a,b   Ondel, O ^a,b  

^a UNIVERSITÉ LYON 1   (France)

^b Univ Claude Bernard Lyon1   (France)

Author keywords

Artificial Ant clustering; Diagnosis; Induction motor; K mean; PCA

Indexed keywords

ARTIFICIAL ANT; BEARING FAULT; BROKEN BAR; DETECTION CAPABILITY; K-MEAN; K-MEANS; MONITORING AND DIAGNOSIS; PCA; PRINCIPAL COMPONENTS ANALYSIS; SPECIFIC POWER; SQUIRREL CAGE INDUCTION MOTOR;

DIAGNOSIS; INDUCTION MOTORS; INDUSTRIAL ELECTRONICS; INDUSTRY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SQUIRREL CAGE MOTORS;

AC MOTORS;

EID: 84856551432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2011.6119866     Document Type: Conference Paper

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