• DocumentCode
    67769
  • Title

    RUL Prediction for Individual Units Based on Condition Monitoring Signals With a Change Point

  • Author

    Junbo Son ; Yilu Zhang ; Sankavaram, Chaitanya ; Shiyu Zhou

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
  • Volume
    64
  • Issue
    1
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    182
  • Lastpage
    196
  • Abstract
    In this article, we propose a method to predict the remaining useful life (RUL) for individual units based on condition monitoring signals with a change point. In this work, we assume the units are subject to hard failure. The existence of a sudden change point in the condition monitoring signal indicates an increase of the probability of system failure. Therefore, this information should be considered in the RUL prediction. In the proposed method, an extended form of the joint prognostic model (JPM) considering a change point (JPM-C) is proposed, and the change point is detected according to the concordance correlation coefficient (CCC). The advantageous features of the proposed method have been shown through a numerical simulation, and a case study of the battery useful life prediction.
  • Keywords
    condition monitoring; failure analysis; numerical analysis; probability; secondary cells; CCC; JPM; RUL prediction; battery useful life prediction; change point; concordance correlation coefficient; condition monitoring signals; individual units; joint prognostic model; numerical simulation; remaining useful life prediction; system failure probability; Batteries; Condition monitoring; Data models; Hazards; Joints; Prognostics and health management; Vectors; Change point; hard failure; joint prognostic model; remaining useful life prediction;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2014.2355531
  • Filename
    6898037