Induction motor fault detection and diagnosis using KDE and Kullback-Leibler divergence

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2013, Pages 2923-2928

  Ferracuti, Francesco ^a   Giantomassi, Andrea ^a   Iarlori, Sabrina ^a   Ippoliti, Gianluca ^a   Longhi, Sauro ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR-GAP ECCENTRICITY; AUTOMATIC IDENTIFICATION; CLASSIFICATION RESULTS; FAULT DETECTION AND DIAGNOSIS; INDUCTION MOTOR FAULT DETECTION; KERNEL DENSITY ESTIMATION; KULLBACK LEIBLER DIVERGENCE; MOTOR CURRENT SIGNATURE ANALYSIS;

AUTOMATION; INDUCTION MOTORS; INDUSTRIAL ELECTRONICS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

FAULT DETECTION;

EID: 84893597443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2013.6699595     Document Type: Conference Paper

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