• DocumentCode
    2404353
  • Title

    Modeling low probability/high consequence events: an aviation safety risk model

  • Author

    Luxhøj, James T. ; Coit, David W.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Rutgers Univ., Piscataway, NJ
  • fYear
    2006
  • fDate
    23-26 Jan. 2006
  • Firstpage
    215
  • Lastpage
    221
  • Abstract
    In this paper, we present an overview of an aviation system risk model (ASRM) that assesses the impact of new technology insertions or products designed to mitigate the likelihood or consequence of aviation accidents. In the aviation industry, accidents occur very infrequently, yet it is still critical to further reduce their rate of occurrence. There are analogous scenarios in many industries and organizations, which must aggressively analyze events that occur with a very low probability because the implications or repercussions are so very severe or extreme. While the occurrence of these events is already very rare, extensive effort and analysis is devoted to further reducing or eliminating the probability. Existing methods and models are already useful, but because of the importance of these failures, new modeling perspectives can add additional insights to further enhance safety. The ASRM, developed with joint support from the National Aeronautics and Space Administration (NASA) and the Federal Aviation Administration (FAA), is an example of a model devoted to this class of ´low probability-high consequence´ events. The ASRM is demonstrated with a model developed for a certain aircraft accident type known as controlled flight into terrain (CFIT)
  • Keywords
    aerospace accidents; aerospace safety; risk analysis; FAA; Federal Aviation Administration; NASA; National Aeronautics and Space Administration; aviation accidents; aviation industry; aviation safety risk model; controlled flight into terrain; high consequence events modeling; low probability events modeling; product design; safety enhancement; technology insertions; Air accidents; Aircraft; Bayesian methods; Decision making; FAA; Fault trees; Industrial accidents; Product safety; Risk analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 2006. RAMS '06. Annual
  • Conference_Location
    Newport Beach, CA
  • ISSN
    0149-144X
  • Print_ISBN
    1-4244-0007-4
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2006.1677377
  • Filename
    1677377