• DocumentCode
    808827
  • Title

    Fault detection of broken rotor bars in induction motor using a global fault index

  • Author

    Didier, Gaëtan ; Ternisien, Eric ; Caspary, Olivier ; Razik, Hubert

  • Author_Institution
    Groupe de Recherche en Electrotechnique et Electronique de Nancy, Univ. Henri Poincare, Vandoeuvre-les-Nancy, France
  • Volume
    42
  • Issue
    1
  • fYear
    2006
  • Firstpage
    79
  • Lastpage
    88
  • Abstract
    Induction motors play a very important part in the safe and efficient running of any industrial plant. Early detection of abnormalities in the motor would help to avoid costly breakdowns. Accordingly, this work presents a technique for the diagnosis of broken rotor bars in induction motor. Stator voltage and current in an induction motor were measured and employed for computation of the input power of one stator phase. Waveforms of the instantaneous power and line current were subsequently analyzed using the Bartlett periodogram. Different global fault indexes on the instantaneous power spectrum and on the line current spectrum for the fault detection are evaluated. Several rotor cage faults of increasing severity were studied with various load effects. Experimental results prove the efficiency of the employed method.
  • Keywords
    fault diagnosis; induction motors; rotors; stators; Bartlett periodogram; broken rotor bars; fault detection; global fault index; induction motor; instantaneous power spectrum; line current spectrum; rotor cage faults; stator current measurement; stator voltage measurement; Bars; Current measurement; Electric breakdown; Fault detection; Induction motors; Industrial plants; Power measurement; Rotors; Stators; Voltage; Bartlett periodogram; broken bar; diagnosis; global fault index; global modulation index; induction motor;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2005.861368
  • Filename
    1583832