• DocumentCode
    2098830
  • Title

    Considerations in implementing canary based prognostics

  • Author

    Mathew, Sony ; Osterman, Michael ; Pecht, Michael

  • Author_Institution
    Center for Advanced Life Cycle Engineering (CALCE) University of Maryland, College Park, MD 20742
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The concept of using canary devices to predict the failure of a system is gaining momentum but there are practical issues that challenge the mainstream implementation of canary device based prognostics. This paper provides a general methodology for implementation of the canary based prognostics. This paper presents an approach to tackle practical issues including determining the number of canary devices required and the confidence in the prediction for a particular number of canaries. A failure prediction scheme to estimate system failure based on the failure of the canary device in the field, is also presented in this paper.
  • Keywords
    Loading; Mathematical model; Probability; Resistors; Shape; Temperature distribution; Canary design; failure prediction scheme; number of canaries; prediction confidence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2015 IEEE Conference on
  • Conference_Location
    Austin, TX, USA
  • Type

    conf

  • DOI
    10.1109/ICPHM.2015.7245062
  • Filename
    7245062