• DocumentCode
    3341449
  • Title

    A model of double star induction motors under rotor bar defect for diagnosis purpose

  • Author

    Razik, Hubert ; Didier, Gaëtan ; Lubin, Thierry ; Silva, C. R da ; Mascarenhas, A.W. ; Jacobina, C.B. ; Lima, A.M.N. ; Silva, E. R C da

  • Author_Institution
    Groupe de Recherches en Electrotechnique et Electron. de Nancy, Henri Poincare Univ., Nancy
  • fYear
    2005
  • fDate
    14-17 Dec. 2005
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    This paper investigates the modelling of a double star induction motor when this one operates under rotor fault. A special attention is paid only to the rotor defect. The use of double star induction motors or six-phase induction motors is increasing and we can find it in high power process. Its main advantage lies in most reliability in case of a normal operating system. In order to monitor a huge power process, we have to focus our attention on signals given the state of health of an electromechanical axis in the whole. Consequently, an appropriated model is proposed allowing the quantification of the severity of the fault when rotor bars are defected. This is made thanks to the most widespread approach: the spectral analysis of the stator current using the well know method named motor current signature analysis (MCSA)
  • Keywords
    fault diagnosis; induction motors; rotors; stators; diagnosis purpose; double star induction motors; electromechanical axis; motor current signature analysis; rotor bar faults; six-phase induction motors; spectral analysis; stator current; Bars; Induction motors; Monitoring; Operating systems; Power system modeling; Power system reliability; Rotors; Signal processing; Spectral analysis; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7803-9484-4
  • Type

    conf

  • DOI
    10.1109/ICIT.2005.1600635
  • Filename
    1600635