Electrical power generation is an important component in the Electrical Power System of an Aircraft (EPS). In this paper we present a model based diagnostic framework for early generator degradation detection and tracking within an Aircraft Generator. The nominal health state is modeled empirically using an Auto-associative Kernel Regression (AAKR) technique using signals extracted from a healthy generator. Later the health state is estimated by comparing sensor observations with the model predictions. Finally, a Sequential Probability Ratio Test (SPRT) is used to detect and track degradation. This model based framework showed excellent degradation tracking performance when it was tested on a unit that was run to failure.


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    Title :

    Model Based Diagnostics of an Aircraft Generator Using AAKR and SPRT


    Additional title:

    Sae Int. J. Aerosp


    Contributors:

    Conference:

    Power Systems Conference ; 2010


    Published in:

    Publication date :

    2010-11-02


    Size :

    7 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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