• DocumentCode
    84078
  • Title

    Rotor-Bar Breakage Mechanism and Prognosis in an Induction Motor

  • Author

    Climente-Alarcon, Vicente ; Antonino-Daviu, Jose Alfonso ; Strangas, Elias G. ; Riera-Guasp, Martin

  • Author_Institution
    Dept. of Electr. Eng. & Autom., Aalto Univ., Aalto, Finland
  • Volume
    62
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1814
  • Lastpage
    1825
  • Abstract
    This paper proposes a condition-based maintenance and prognostics and health management (CBM/PHM) procedure for a rotor bar in an induction motor. The methodology is based on the results of a fatigue test intended to reproduce in the most natural way a bar breakage in order to carry out a comparison between transient and stationary diagnosis methods for incipient fault detection. Newly developed techniques in stator-current transient analysis have allowed tracking the developing fault during the last part of the test, identifying the failure mechanism, and establishing a physical model of the process. This nonlinear failure model is integrated in a particle filtering algorithm to diagnose the defect at an early stage and predict the remaining useful life of the bar. An initial generalization of the results to conditions differing from the ones under which the fatigue test was developed is studied.
  • Keywords
    bars; condition monitoring; failure analysis; fatigue testing; fault diagnosis; fracture; induction motors; remaining life assessment; rotors; bar breakage; condition-based maintenance; condition-based prognostics; failure mechanism; fatigue test; health management; incipient fault detection; induction motor; nonlinear failure model; particle filtering algorithm; remaining useful life; rotor-bar breakage mechanism; rotor-bar breakage prognosis; stationary diagnosis methods; transient diagnosis methods; Fatigue; Harmonic analysis; Induction motors; Prognostics and health management; Rotors; Stators; Transient analysis; Failure analysis; fatigue; fault diagnosis; frequency-domain analysis; induction motors; particle filters; prognostics and health management (PHM); remaining life assessment; rotors; spectrogram;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2336604
  • Filename
    6850023