We propose a new method for local linear smoothing, filtering and prediction of noisy data. Its novelty consists in two of its steps: a sliding window filter that uses Student’s t-statistics to perform smoothing and filtering, and a trend change detection scheme that uses a convex hull construction to determine a change of slope or intercept of the local linear trend. The final linear trend detected is used for linear prediction and interval estimation. The application of the scheme to gas-turbine engine prognostics is presented.


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    Titel :

    Aeroengine Prognostics via Local Linear Smoothing, Filtering and Prediction


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Jelinek, Jan (Autor:in) / Ariyur, Kartik B. (Autor:in)

    Kongress:

    Power Systems Conference ; 2004



    Erscheinungsdatum :

    02.11.2004




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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