Aircraft engine diagnostic methods are reviewed. The role of computer-aided diagnostic procedures for current and future engines is discussed from the aspects of performance monitoring, trending, and fault detection/isolation. Development of advanced maximum likelihood or regression algorithms for each of these is presented. A methodology is developed for applying these algorithms to models derived from engine test stand or flight data. Specific computational results are given for a high performance turbofan engine. (Peters)


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    Title :

    Advanced fault detection and isolation methods for aircraft turbine engines


    Additional title:

    Fortgeschrittene Fehlererkennung und Abschaltmethoden fuer Flugzeugturbinen


    Contributors:

    Published in:

    Publication date :

    1978


    Size :

    99 Seiten


    Type of media :

    Report


    Type of material :

    Print


    Language :

    English




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