Title :
Detection of broken bars in induction motor using the Extended Kalman Filter (EKF)
Author :
Marouane Rayyam;Malika Zazi;Youssef Hajji
Author_Institution :
Department of Electrical Engineering, Mohammed V University, ENSET, Rabat, Morocco
Abstract :
Estimation of rotor resistance rapidly and accurately has received a lot of attention due to its significance in improving the performance of Induction Motor (IM). This paper deals with the diagnostic of broken bars in induction motors. The hypothesis on which detection is based is that the apparent rotor resistance of an induction motor will increase when a rotor bar breaks. To detect rotor fault we propose an Extended Kalman Filter approach for rotor resistance estimation. In particular, rotor resistance is estimated and compared with its nominal value to detect broken bars.
Keywords :
"Rotors","Induction motors","Resistance","Kalman filters","Mathematical model","Stators","Estimation"
Conference_Titel :
Complex Systems (WCCS), 2015 Third World Conference on
DOI :
10.1109/ICoCS.2015.7483235