• DocumentCode
    1855681
  • Title

    Effect of initial defect distribution on accuracy of predicting aircraft probability of failure

  • Author

    Macheret, Yevgeny ; Koehn, Phillip ; Teichman, Jeremy ; Scheuren, William

  • Author_Institution
    Inst. for Defense Analyses, Alexandria, VA
  • fYear
    2008
  • fDate
    6-9 Oct. 2008
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    We describe the effect of the equivalent pre-crack size (EPS) distribution errors on probability of failure (PF) of an FA/18 bulkhead. We distinguish two types of errors: (1) measurement errors of the EPS distribution parameters and (2) errors that arise because PF is typically calculated based on an EPS distribution with an infinite tail, while in a flying aircraft the tail cannot be unbounded. Our results indicate that both errors have a pronounced effect on accuracy of predicted PF. We also show that because predictions of the evolving crack sizes are less sensitive to the EPS distribution errors, they could be used as a complementary measure for estimating accumulated aircraft fatigue damage.
  • Keywords
    aircraft maintenance; failure analysis; fatigue cracks; measurement errors; probability; structural engineering; FA/18 bulkhead; aircraft fatigue crack damage; aircraft probability-of-failure; aircraft structures; equivalent precrack size distribution errors; flying aircraft infinite tail; initial defect distribution; measurement errors; Accuracy; Fatigue; History; Measurement errors; Military aircraft; Probability distribution; Prognostics and health management; Scattering; Strain measurement; Stress; fatigue crack growth; maximum defect size probability of failure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management, 2008. PHM 2008. International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4244-1935-7
  • Electronic_ISBN
    978-1-4244-1936-4
  • Type

    conf

  • DOI
    10.1109/PHM.2008.4711434
  • Filename
    4711434