• DocumentCode
    158323
  • Title

    Detection of inter-turn short circuits in stator windings of im by extended Kalman filters

  • Author

    El Merraoui, K. ; Ferdjouni, A.

  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    275
  • Lastpage
    280
  • Abstract
    This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.
  • Keywords
    Kalman filters; fault diagnosis; machine windings; short-circuit currents; stators; EKF; EKF variant estimates; extended Kalman filters; fault detection; fault factors; fault isolation; induction motor; inter-turn short circuits; state vector; stator windings; Circuit faults; Integrated circuit modeling; Mathematical model; Rotors; Stator windings; Vectors; Extended Kalman Filter; dwell time; fault factor; induction motor; inter-turn short circuit; multi-model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2014 22nd Mediterranean Conference of
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4799-5900-6
  • Type

    conf

  • DOI
    10.1109/MED.2014.6961383
  • Filename
    6961383