• DocumentCode
    3041499
  • Title

    A review of data-driven prognostics in power electronics

  • Author

    Kabir, Ahsanul ; Bailey, Christopher ; Lu, Hua ; Stoyanov, Stoyan

  • Author_Institution
    Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
  • fYear
    2012
  • fDate
    9-13 May 2012
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    The discipline that connects prognostics and system lifecycle management is often referred to as prognostics and health management (PHM). Though prognostics is one of the main parts of PHM, it is the least mature. This paper is based on the past work of data driven prognostics applied in the field of power electronics modules and primarily concerned with the data driven prognostics methods that take advantage of measured characteristics of individual systems or components in order to predict the remaining useful life (RUL).
  • Keywords
    circuit reliability; condition monitoring; power electronics; remaining life assessment; data driven prognostics; lifecycle management; power electronics modules; prognostics and health management; remaining useful life; Insulated gate bipolar transistors; Mathematical model; Monitoring; Physics; Predictive models; Prognostics and health management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Technology (ISSE), 2012 35th International Spring Seminar on
  • Conference_Location
    Bad Aussee
  • ISSN
    2161-2528
  • Print_ISBN
    978-1-4673-2241-6
  • Electronic_ISBN
    2161-2528
  • Type

    conf

  • DOI
    10.1109/ISSE.2012.6273136
  • Filename
    6273136