Classification method for faults diagnosis in reluctance motors using Hidden Markov Models

IEEE International Symposium on Industrial Electronics

Volumn , Issue , 2014, Pages 984-991

  Ilhem, Bouchareb ^a   Amar, Bentounsi ^a   Lebaroud, Abdesselam ^b  

^a Universite Mentouri Constantine   (Algeria)

^b UNIVERSITY OF SKIKDA   (Algeria)

Author keywords

classification; diagnosis; electrical faults; hidden markov model; switched reluctance machine; time frequency representation

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; ELECTRIC FAULT LOCATION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; INDUSTRIAL ELECTRONICS; SWITCHING SYSTEMS; SYNCHRONOUS MACHINERY; COMPUTER AIDED DIAGNOSIS; DIGITAL STORAGE; ELECTRIC MACHINE THEORY; FAULT DETECTION; FAULT TOLERANCE; MARKOV PROCESSES; RELUCTANCE MOTORS; TIME VARYING NETWORKS; TRELLIS CODES;

AUTOMATIC CLASSIFICATION; CLASSIFICATION METHODS; ELECTRICAL FAULTS; HIDDEN MARKOV MODELING ALGORITHMS; SAFETY CRITICAL APPLICATIONS; SWITCHED RELUCTANCE DRIVES; SWITCHED RELUCTANCE MACHINE; TIME-FREQUENCY REPRESENTATIONS;

RELUCTANCE MOTORS; HIDDEN MARKOV MODELS;

EID: 84907328444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2014.6864746     Document Type: Conference Paper

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