Systems and methods for managing the flight of an aircraft, include the steps of receiving data from recordings of the flight of an aircraft; the data comprising data from sensors and/or data from the onboard avionics; determining the aircraft state at a point N on the basis of the received data; determining the state of the aircraft at the point N+1 on the basis of the state of the aircraft at point N by applying a model learnt by means of machine learning. Developments describe the use of the flight parameters SEP, FF and N1; offline and/or online unsupervised machine learning, according to a variety of algorithms and neural networks. Software aspects are described.


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    Title :

    MACHINE LEARNING IN AVIONICS


    Contributors:

    Publication date :

    2020-06-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



    MACHINE LEARNING ON BIG DATA IN AVIONICS

    DE MUNCK WIM / LEJEUNE JONAS | European Patent Office | 2020

    Free access

    MACHINE LEARNING ON BIG DATA IN AVIONICS

    DE MUNCK WIM / LEJEUNE JONAS | European Patent Office | 2020

    Free access