• DocumentCode
    2096533
  • Title

    A generalized condition monitoring method for multi-phase induction motors

  • Author

    Choi, S.D. ; Akin, B. ; Rahimian, M.M. ; Toliyat, H.A. ; Azadpour, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    556
  • Lastpage
    562
  • Abstract
    As high power applications in industry commonly employ multi-phase motors and generators, a generic solution is needed for fault diagnosis of various multi-phase systems. Furthermore, the fault criteria set for the severity of the detected fault signature has still been a challenge due to the dynamic behavior of the fault-related signatures in the motor line current. Therefore a generalized solution is needed for multi-phase systems including the adaptive threshold that validates the fault detection algorithm through the entire operation range. In this paper, it is focused on a mathematical analysis of conventional DSP algorithms, frequency tone detectors, including Park´s vector approaches. Based on the analysis, it is theoretically extended and simulated for a contribution of a future online fault diagnosis of multiphase machine.
  • Keywords
    condition monitoring; fault diagnosis; induction motors; DSP algorithms; Park´s vector approaches; adaptive threshold; fault criteria; fault detection algorithm; fault diagnosis; fault signature; frequency tone detectors; generalized condition monitoring method; motor line current; multiphase generators; multiphase induction motors; Adaptive systems; Condition monitoring; Digital signal processing; Fault detection; Fault diagnosis; Frequency; Induction generators; Induction motors; Mathematical analysis; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-4251-5
  • Electronic_ISBN
    978-1-4244-4252-2
  • Type

    conf

  • DOI
    10.1109/IEMDC.2009.5075261
  • Filename
    5075261