Automatic and robust diagnosis of broken rotor bars fault in induction motor

19th International Conference on Electrical Machines, ICEM 2010

Volumn , Issue , 2010, Pages

  Bouzid, Monia Ben Khader ^a   Champenois, G ^b   Bellaaj, N ^a   Jelassi, K ^a  

^a UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

^b UNIVERSITÉ DE POITIERS   (France)

Author keywords

Broken rotor bars; d q current residue; Diagnosis fault; Induction motor; Neural network; Parameter estimation; Robustness to parametric variation

Indexed keywords

BROKEN BAR; BROKEN ROTOR BAR; D-Q CURRENT RESIDUE; DIAGNOSIS FAULT; FEED-FORWARD; MAGNETIC STATE; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NONINVASIVE METHODS; PARAMETRIC IDENTIFICATION; PARAMETRIC VARIATION; ROTOR FAULT; SIMULATED RESULTS; SPECTRAL COMPONENTS; THREE PHASE INDUCTION MOTOR;

ELECTRIC MACHINERY; INDUCTION MOTORS; NETWORK LAYERS; NEURAL NETWORKS; PARAMETRIC DEVICES;

PARAMETER ESTIMATION;

EID: 78649625714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICELMACH.2010.5608108     Document Type: Conference Paper

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