A key technological concept for producing reliable engine diagnostics and prognostics exploits the benefits of fusing sensor data, information, and/or processing algorithms. This report describes the development of a hybrid engine model for a propulsion gas turbine engine, which is the result of fusing two diverse modeling methodologies: a physics-based model approach and an empirical model approach. The report describes the process and methods involved in deriving and implementing a hybrid model configuration for a commercial turbofan engine. Among the intended uses for such a model is to enable real-time, on-board tracking of engine module performance changes and engine parameter synthesis for fault detection and accommodation.


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    Title :

    Enhanced Self Tuning On-Board Real-Time Model (eSTORM) for Aircraft Engine Performance Health Tracking


    Contributors:
    A. Volponi (author) / D. L. Simon (author)

    Publication date :

    2008


    Size :

    58 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    eSTORM: Enhanced self tuning on-board real-time engine model

    Brotherton, T. / Volponi, A. / Luppold, R. et al. | IEEE | 2003


    11.0201 eSTORM: Enhanced Self Tuning On-board Real-time Engine Model

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003



    REAL-TIME PERFORMANCE TUNING

    MILLIKEN TIMOTHY G | European Patent Office | 2017

    Free access