• DocumentCode
    2399266
  • Title

    On-line stator winding fault diagnosis in inverter-fed AC machines using high frequency signal injection

  • Author

    Briz, Fernando ; Degner, Michael W. ; Zamarrón, Antonio ; Guerrero, Juan M.

  • Author_Institution
    Dept. of Elec., Comput. & Syst. Eng., Univ. of Oviedo, Gijon, Spain
  • Volume
    3
  • fYear
    2002
  • fDate
    13-18 Oct. 2002
  • Firstpage
    2094
  • Abstract
    The diagnosis of stator winding faults in inverter fed AC machines using an injected high frequency carrier signal is presented and analyzed in this paper. Measurement of the resulting high frequency negative sequence current (or alternatively of the negative sequence impedance) is used to detect turn faults at an incipient stage. Though sharing the same physical principles of similar techniques applied to line-connected machines, the use of a high frequency signal will be shown to present important advantages, such as providing the same performance almost independent of the fundamental excitation frequency, and drastically reducing the sensitivity to the working condition of the machine, i.e. torque and flux levels.
  • Keywords
    AC machines; DC-AC power convertors; computerised monitoring; electric breakdown; fault diagnosis; insulation testing; invertors; machine insulation; machine testing; power engineering computing; stators; fundamental excitation frequency; high-frequency negative sequence current; high-frequency signal injection; injected high frequency carrier signal; inverter-fed AC machines; online stator winding fault diagnosis; turn faults detection; AC machines; Current measurement; Employee welfare; Fault detection; Fault diagnosis; Frequency measurement; Impedance measurement; Inverters; Signal analysis; Stator windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2002. 37th IAS Annual Meeting. Conference Record of the
  • Conference_Location
    Pittsburgh, PA, USA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-7420-7
  • Type

    conf

  • DOI
    10.1109/IAS.2002.1043820
  • Filename
    1043820