An observer based fault detection and isolation method is presented. The method involves combining the unknown input observer theory with the Beard fault detection filter theory to generate a residual signal that has both disturbance decoupling and unidirectional properties. This robust, in the sense of disturbances, residual was used to detect and isolate sensor faults in a turbofan engine model. Finally, the method was successfully extended to detect and isolate sensor faults over a wide range of power input levels by scheduling the observer based on power code.


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    Titel :

    Using unknown input observers to detect and isolate sensor faults in a turbofan engine


    Beteiligte:
    Dassanake, S.K. (Autor:in) / Balas, G.L. (Autor:in) / Bokor, J. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    456281 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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