• DocumentCode
    3863504
  • 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
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Complex Systems (WCCS), 2015 Third World Conference on
  • Type

    conf

  • DOI
    10.1109/ICoCS.2015.7483235
  • Filename
    7483235