One way to make a system more affordable is to reduce the number of redundant components. Reducing components while still maintaining a desired level of reliability requires that the functionality of the eliminated, redundant hardware be replaced with a lower-cost option. In this paper, we present a methodology that offers such an option on an aeropropulsion engine. This option is a low-cost secondary control unit with an intelligent logic that can be implemented as a part of the engine health monitoring unit. The low-cost, secondary control unit acts like a back-up control, when the primary control unit becomes faulty. The back-up unit relies on the models and logic stored in the monitoring unit to provide a reduced-envelope capability for the flight vehicle. The basis for the logic is fuzzy reasoning. The reasoning is initiated by observing the behavior of the engine before a fault is developed.


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    Titel :

    Achieving affordability through fuzzy reasoning and control


    Beteiligte:
    Jaw, L.C. (Autor:in) / Wu, D.N. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    502005 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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