• DocumentCode
    2272360
  • Title

    Calculating and predicting mission and fleet readiness [tactical aircraft]

  • Author

    Black, Scott E. ; Keller, Kirby J.

  • Author_Institution
    The Boeing Co., St Louis, MO, USA
  • fYear
    2003
  • fDate
    22-25 Sept. 2003
  • Firstpage
    687
  • Lastpage
    693
  • Abstract
    The objective is to provide greater insight into the mission readiness of aircraft to support the commander in which aircraft to commit to a mission and estimate how the fleet will perform given their current state and the effectiveness of the maintenance process. In order to more accurately determine the status of aircraft systems following the completion of maintenance operations, statistical inference procedures can be utilized to provide additional insight toward fleet capability and enhance mission optimization. The model supports scheduling of maintenance based on the predicted effectiveness of a repair, including consideration of prognostic and reliability information. A derivation for the probability of no failures in a given operation time is presented that can used to estimate lifetime projections and select aircraft that are the most mission capable or reliable. In addition, the inference procedures and corresponding process model also provide feedback into the overall maintenance process.
  • Keywords
    aircraft maintenance; failure analysis; inference mechanisms; military aircraft; reliability; scheduling; statistical analysis; aircraft mission readiness calculation; aircraft systems status; failure probability; fleet capability; fleet readiness; maintenance process effectiveness; maintenance scheduling; mission optimization; prognostic information; reliability; repair; statistical inference procedures; tactical aircraft; Aircraft; Electric shock; Electromechanical systems; Preventive maintenance; Probability; Resource management; Surges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON 2003. IEEE Systems Readiness Technology Conference. Proceedings
  • ISSN
    1080-7725
  • Print_ISBN
    0-7803-7837-7
  • Type

    conf

  • DOI
    10.1109/AUTEST.2003.1243652
  • Filename
    1243652