Neural networks were applied to the Engine Condition and Monitoring System of the F/A-18 aircraft. Due to recent fleet experience with compressor blade failures in flight, neural networks were applied to three engine conditions, flameout due to compressor failures, normal operating conditions, and low oil pressure conditions. An attempt was made to predict compressor failure using the neural networks. A back propagation and back propagation/Kohonen network were successfully tested in recognizing the various conditions with data previously unseen by the networks. Both networks demonstrated promise in predicting failures although not enough data was available for conclusive results. Keywords: Theses; Data acquisition; Fortran; Naval aircraft. (kr)


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    Title :

    Application of Neural Networks to the F/A-18 Engine Condition Monitoring System


    Contributors:
    J. T. Gengo (author)

    Publication date :

    1989


    Size :

    125 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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