• DocumentCode
    2360319
  • Title

    Stator faults diagnosis in induction machines under fixed speed

  • Author

    Bachir, S. ; Champenois, G. ; Tnani, S. ; Gaubert, J.-P.

  • Author_Institution
    Laboratoire d´Automatique et d´Informatique Industrielle
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    In this paper, authors proposes a new monitoring technique of inter turns short circuit windings under fixed speed. This method is based on introduction of sinusoidal extra-signals to input voltage delivered by power inverter. For diagnosis, we proposed model of squirrel cage induction motors under stator faults. This model takes into account the effects of inter turn faults resulting in the shorting of one or more circuits of stator phase winding. The stator asymmetries caused in the faulty case are explained by the introduction of the short-circuit elements in the conventional Park´s model. Each short-circuit element allows faults detection and localization in the three stator windings. The estimation technique is performed by taking into account prior information available on the safe system operating in nominal conditions. Experimental test results show the good agreement between the real faults and their estimations and demonstrate the detection and localization possibilities of this predictive failure detection technique
  • Keywords
    fault diagnosis; monitoring; squirrel cage motors; stators; fault detection; interturns short circuit windings; monitoring techniques; power inverters; predictive failure detection technique; squirrel cage induction motors; stator asymmetries; stator faults diagnosis; stator phase winding; Circuit faults; Electrical fault detection; Fault detection; Fault diagnosis; Induction machines; Induction motors; Inverters; Monitoring; Stator windings; Voltage; Diagnostics; Estimation technique; Excitation system; Induction motor; Modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications, 2005 European Conference on
  • Conference_Location
    Dresden
  • Print_ISBN
    90-75815-09-3
  • Type

    conf

  • DOI
    10.1109/EPE.2005.219497
  • Filename
    1665687