• DocumentCode
    151068
  • Title

    Condition monitoring and failure prognosis of IGBT inverters based on on-line characterization

  • Author

    Babel, Andrew ; Muetze, Annette ; Seebacher, Roland ; Krischan, Klaus ; Strangas, Elias G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    3059
  • Lastpage
    3066
  • Abstract
    An inverter characterization technique is used to improve inverter fault diagnosis and prognosis techniques with the demonstrative bond wire lift-off fault. Knowledge of the nonlinear voltage-current characteristic of each inverter device is used to achieve these improvements. Three contributions are made in this paper to the field of inverter condition monitoring by using the characterization technique: use of the inverter device characteristics to improve a classifier-based diagnostic technique, direct use of the device characteristics for diagnosis, and improving the calculation of remaining useful life with the device characteristics. The diagnostic method improvements are verified experimentally by adding resistances to create an artificial fault. Thermal and electrical simulations are used to demonstrate the improvements made to the prognostic method.
  • Keywords
    condition monitoring; fault diagnosis; insulated gate bipolar transistors; invertors; IGBT inverters; artificial fault; classifier-based diagnostic technique; condition monitoring; demonstrative bond wire lift-off fault; electrical simulations; failure prognosis; fault diagnosis; inverter device characteristics; nonlinear voltage-current characteristic; thermal simulations; Circuit faults; Insulated gate bipolar transistors; Inverters; Resistance; Semiconductor device measurement; Voltage measurement; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6953816
  • Filename
    6953816