Abstract A novel engine health management (EHM) scheme is introduced. It uses flight-level, instead of thermodynamic, data to cost-effectively augment the onboard EHM redundancy. For a nominal healthy aircraft, fault-sensitive interrelations among flight data are globally modelled inside a flight regime via Constant-Coefficient Pooled Nonlinear AutoRegressive with eXogenous (CCP-NARX) excitation representations. Single or sequential engine faults perturb these interrelations. Statistically evaluating the perturbation-induced effects draws reliable conclusions on the engineʼs health. Validation and comparisons with Kalman filter-based alternatives are made throughout the regime under various operational conditions.


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    Titel :

    Aircraft engine health management via stochastic modelling of flight data interrelations


    Beteiligte:
    Dimogianopoulos, D. (Autor:in) / Hios, J. (Autor:in) / Fassois, S. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2011-03-02


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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