The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed using estimated rotor and stator-winding resistance.

A54_3__Kowalski_Stator_and_Rotor_Faults_Monitoring_of_the_Inverter_Fed_Induction_Motor_Drive_using_State_Estimators.pdf

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