• DocumentCode
    540953
  • Title

    Current status of prognostics techniques and application to power electronics

  • Author

    Bailey, Chris ; Yin, Chunyan ; Lu, Hua ; Musallam, Mahera ; Johnson, C. Mark

  • Author_Institution
    Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
  • fYear
    2010
  • fDate
    16-18 March 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The existing prognostic techniques for electronics are reviewed and classified into three categories: data driven methods, model driven methods and fusion methods. It ranges from simple statistical methodologies (i.e. historical failure rates and time-series predictions) to high-fidelity models that consider failure mechanisms and their progression. Applications of these techniques, particularly the model driven techniques for power electronic modules are also reported.
  • Keywords
    failure analysis; modules; power electronics; statistical analysis; data driven methods; failure mechanisms; fusion methods; model driven methods; power electronic module; prognostics techniques; statistical methodology; Analytical models; Computational modeling; Insulated gate bipolar transistors; Load modeling; Mathematical model; Predictive models; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Power Electronics Systems (CIPS), 2010 6th International Conference on
  • Conference_Location
    Nuremberg
  • Print_ISBN
    978-1-61284-814-3
  • Type

    conf

  • Filename
    5730666