• DocumentCode
    468613
  • Title

    Parameter identification and its application in fault diagnosis of asynchronous motor

  • Author

    Ma, Hongzhong ; Ni, Xinrong ; Ding, Yuanyuan ; Song, Jingang

  • Author_Institution
    Hohai Univ., Nanjing
  • fYear
    2007
  • fDate
    8-11 Oct. 2007
  • Firstpage
    1824
  • Lastpage
    1828
  • Abstract
    The method of asynchronous motor´s parameter identification is introduced simply. The model of asynchronous motor´s parameter identification based on two-phase coordinate system is established. Do not need using signal of rotor magnetic linkage, through measuring the stator voltage, current and signal of rotational speed, the method of recursive least squares is made use of to carry on recognizing motor parameters. Through the identification of healthy motor and faulty motor, the relevant parameters of healthy motor and faulty motor are received. The change regulation of portion parameters before and after the motor broken is received. Some parameters will generate great change after motor broken. Based on this, it could pass parameter identification and faulty diagnosis toward the state of parameter deviate normal value.
  • Keywords
    fault diagnosis; induction motors; parameter estimation; asynchronous motor; fault diagnosis; parameter identification; two-phase coordinate system; Couplings; Current measurement; Fault diagnosis; Least squares methods; Parameter estimation; Rotation measurement; Rotors; Stators; Velocity measurement; Voltage measurement; broken bar; diagnosis; fault analysis; induction machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2007. ICEMS. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-86510-07-2
  • Electronic_ISBN
    978-89-86510-07-2
  • Type

    conf

  • Filename
    4412104