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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    Titel :

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


    Beteiligte:
    Volponi, Al (Autor:in) / Simon, Donald L. (Autor:in)

    Erscheinungsdatum :

    01.07.2008


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





    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 | Europäisches Patentamt | 2017

    Freier Zugriff