• DocumentCode
    1909926
  • Title

    Probabilistic Risk Assessment: A Practical & Cost Effective Approach

  • Author

    Lee, Lydia Lam ; Ingegneri, Antonino J. ; Li, Ming ; Everett, David F.

  • Author_Institution
    NASA Goddard Space Flight Center, Greenbelt, MD
  • fYear
    2007
  • fDate
    22-25 Jan. 2007
  • Firstpage
    147
  • Lastpage
    151
  • Abstract
    This paper describes the approach taken for the reliability analyses, including probabilistic risk assessments (PRAs), of the Lunar Reconnaissance Orbiter (LRO) that have been performed concurrently with the designs to identify problem areas and ensure corrective actions were taken in a timely manner. The LRO is a large system with more than 14,000 piece-parts and over 120 purchased or contractor-built components. These analyses formulate the probability of failure for each of the components of the system. PRA then integrates these analytical techniques and results to assess the potential for failure and to help find ways to reduce the mission risks. By utilizing the traditional and innovative methods to perform reliability analyses, such as reliability predictions, failure modes and effects analysis (FMEA), and fault tree analysis (FTA), the LRO project office, with close collaboration with the reliability team, has improved the probability of mission success, from 0.72 to 0.81, within a tight schedule and limited budget. As more data from the manufacturers and GSFC designs become available, the reliability and system teams will continue to update the analyses to assess risks throughout the entire lifecycle of the mission
  • Keywords
    fault trees; probability; risk management; space vehicles; FMEA; Lunar Reconnaissance Orbiter; failure modes and effects analysis; failure probability; fault tree analysis; mission risks reduction; mission success probability; probabilistic risk assessment; reliability analyses; reliability predictions; Collaboration; Costs; Failure analysis; Fault trees; Moon; Performance analysis; Reconnaissance; Risk analysis; Risk management; US Department of Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 2007. RAMS '07. Annual
  • Conference_Location
    Orlando, FL
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-9766-5
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2007.328054
  • Filename
    4126340