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Diagnostic fault detection & intelligent reconfiguration of fuel delivery systems

  • Brian J. Murphy
  • , Mitchell S. Lebold
  • , Karl Reichard
  • , Michael Roemer
  • , Rolf Orsagh
  • , Michael Schoeller

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The reliable operation of an engines fuel delivery system is fundamental. A failure in the fuel system that impacts the ability to deliver fuel to the engine will have an immediate effect on system performance and safety. There are very few diagnostic systems that monitor the health of the fuel system and even fewer that can accommodate for detected faults. Current diagnostic techniques call for careful maintenance of fuel system components. These techniques tend to be backward thinking in that they are based on previous experience which is not always a good indicator for future systems. This paper describes a technique developed at the Penn State Applied Research Laboratories Condition Based Maintenance Department for fault detection and reconfiguration for fuel delivery system components. This technique has been applied to a diesel engine test rig. The test rig is fully instrumented with sensors including those for fuel pressure. Even though this technique is being applied on a diesel engine, the approach is fully compatible to any fuel delivery system.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2005 IEEE Aerospace Conference
    PublisherIEEE Computer Society
    Pages3514-3522
    Number of pages9
    ISBN (Print)0780388704, 9780780388703
    DOIs
    StatePublished - 2005
    Event2005 IEEE Aerospace Conference - Big Sky, MT, United States
    Duration: Mar 5 2005Mar 12 2005

    Publication series

    NameIEEE Aerospace Conference Proceedings
    Volume2005
    ISSN (Print)1095-323X

    Other

    Other2005 IEEE Aerospace Conference
    Country/TerritoryUnited States
    CityBig Sky, MT
    Period3/5/053/12/05

    All Science Journal Classification (ASJC) codes

    • Aerospace Engineering
    • Space and Planetary Science

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