• DocumentCode
    1705645
  • Title

    Extreme Value Theory for engine health monitoring and diagnosis

  • Author

    Ortiz, Estefan ; Babbar, Ashish ; Syrmos, Vassilis L.

  • Author_Institution
    Res. Corp., Univ. of Hawaii at Manoa, Honolulu, HI, USA
  • fYear
    2009
  • Firstpage
    1069
  • Lastpage
    1074
  • Abstract
    Modern commercial aircraft engine maintenance includes a form of threshold testing on monitored engine parameters. In most cases the thresholds used to monitor the respective parameters are determined by the engine manufacture and do not take into account an aircraft´s engines actual usage. In addition, thresholds set by the engine manufacture are set to provide a warning for the most severe cases in which an engine failure may occur if the threshold is reached. More importantly these thresholds impact the engine maintenance and management procedures used by the commercial airlines. Though useful, the thresholds given do not provide enough information for daily operation and maintenance planning. What is needed is a ldquoworst caserdquo analysis which can provide an improved insight on the behavior of monitored engine parameters. Presented is an investigation of applied ideas and concepts from Extreme Value Theory to engine health monitoring.
  • Keywords
    aerospace engines; aircraft; condition monitoring; failure analysis; maintenance engineering; value engineering; aircraft engine actual usage; commercial aircraft engine maintenance; engine failure; engine health diagnosis; engine health monitoring; engine management; engine manufacture; engine parameter monitoring; extreme value theory; maintenance planning; threshold testing; worst case analysis; Aerospace engineering; Aircraft propulsion; Condition monitoring; Control systems; Delay; Engines; Maintenance engineering; Manufacturing; Petroleum; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5280957
  • Filename
    5280957