• DocumentCode
    2700740
  • Title

    Determination of degradation change point using spline function

  • Author

    Jiang, R.

  • Author_Institution
    Fac. of Automotive & Mech. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    900
  • Lastpage
    904
  • Abstract
    A degradation process is usually non-linear, and hence there exists one or more change points, where the degradation rate changes quickly. It is useful to determine the change points, e.g., designing an inspection scheme and predicting the time to a functional failure. It is an important issue how to specify the change points. This paper addresses this issue. A spline function with unknown knots is used to fit the observed degradation data and the estimated knots are the estimates of degradation change points. The information criterion is used to determine the optimal degree of spline function. The potential applications of the results are discussed, and the usefulness and appropriateness are illustrated by a real-world example.
  • Keywords
    reliability theory; splines (mathematics); degradation change point determination; information criterion; optimal degree; spline function; Computational modeling; Degradation; Inspection; Maintenance engineering; Splines (mathematics); Standards; Weibull distribution; Akaike´s information criterion; change point; degradation process; functional failure; spline function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246371
  • Filename
    6246371