• DocumentCode
    3512036
  • Title

    Signal processing tools for monitoring induction drive

  • Author

    Raison, Bertrand ; Rostaing, Gilles ; Rognon, Jean-Pierre

  • Author_Institution
    Lab. d´´Electrotech. de Grenoble, Domaine Univ., France
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1198
  • Abstract
    This paper consists of three parts. In the first, the faults under study are listed. The simulation models used to characterize the faults occurring in the electrical drive and to validate the fault detection and isolation methods are presented. In the second part, a spectral characterization is performed for each considered fault on the observable signals appropriate for each component of the drive (voltage, current or speed). Signal based detection methods are presented in the third part and are validated in simulation
  • Keywords
    fault diagnosis; induction motor drives; machine testing; machine theory; monitoring; signal processing; fault detection; fault isolation; faults characterisation; induction motor drive monitoring; signal processing tools; simulation models; spectral characterization; Circuit faults; Electrical fault detection; Fault detection; Induction machines; Monitoring; Pulse width modulation inverters; Signal processing; Stator windings; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    0-7803-5735-3
  • Type

    conf

  • DOI
    10.1109/IECON.1999.819382
  • Filename
    819382