Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.


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    Titel :

    MACHINE LEARNING BASED AIRFLOW SENSING FOR AIRCRAFT


    Beteiligte:
    ZHOU WANG (Autor:in) / HU HUAN (Autor:in) / TAN WEI (Autor:in) / CHEN QIANWEN (Autor:in)

    Erscheinungsdatum :

    2020-05-14


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06K Erkennen von Daten , RECOGNITION OF DATA



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