Through the analysis of typical aero-engine fault, the function parameters under different throttle openings of the aero-engine are presented, and the fault characteristic learning as the training set are studied using the RBF neural network. An aero-engine function evaluation model is proposed in this work by comparing the test set with the expected value of the training set, and the decay degree of engine function are determined. The proposed method is validated to be an effective method of diagnosing and identifying the aero-engine fault accurately and timely by testing large amount of recorded flight data from each of various types of aero-engines. It makes it possible for early and successful diagnosis and prediction of the health condition of aero-engines.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Analysis of Physical Condition of Aero-Engines Based on Flight Data


    Beteiligte:
    Li, Y.Y. (Autor:in) / Tan, G.Y. (Autor:in) / Cheng, Y.L. (Autor:in) / Cheng, F.C. (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    6 Seiten




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Aero engines -- "flight" survey

    Engineering Index Backfile | 1967


    Flight testing aero engines

    Powell, H.P. | Engineering Index Backfile | 1952


    Simulated flight testing of aero engines

    Constant, H. | Engineering Index Backfile | 1957


    Aero-Engines

    Online Contents | 2003


    Aero-Engines

    Online Contents | 2007