• DocumentCode
    3026801
  • Title

    Faults Diagnosis by Parameter Identification of the Squirrel Cage Induction Machine

  • Author

    Touhami, O. ; Fadel, M.

  • Author_Institution
    Nat. Polytech. Coll., Algiers
  • Volume
    1
  • fYear
    2007
  • fDate
    3-5 May 2007
  • Firstpage
    821
  • Lastpage
    825
  • Abstract
    The authors present the faults diagnosis by parameter identification of the squirrel-cage rotor induction machine using real data. The model of electric parameter identification of the induction machine from the input-output observations of the stator is elaborated.To experimentally verify this approach, the tests are carried out on four squirrel-cage rotor induction machines especially constructed for the purpose of the diagnosis. All the model parameters of the squirrel-cage rotor induction machine are identified by least-squares method. Experimental results show good agreement and confirm the possibility the detection and localization of the faults.
  • Keywords
    asynchronous machines; fault diagnosis; fault location; least squares approximations; parameter estimation; rotors; stators; electric parameter identification; fault localization; faults diagnosis; least-squares method; squirrel-cage rotor induction machine; stator; Circuit faults; Electric machines; Electrical fault detection; Fault diagnosis; Induction machines; Parameter estimation; Production; Stators; Surveillance; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International
  • Conference_Location
    Antalya
  • Print_ISBN
    1-4244-0742-7
  • Electronic_ISBN
    1-4244-0743-5
  • Type

    conf

  • DOI
    10.1109/IEMDC.2007.382774
  • Filename
    4270747