Machine learning in avionics
    1.
    发明授权

    公开(公告)号:US12033521B2

    公开(公告)日:2024-07-09

    申请号:US16716160

    申请日:2019-12-16

    Applicant: THALES

    CPC classification number: G08G5/0034 G06N3/08 G06N20/00 G08G5/0021

    Abstract: 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.

Patent Agency Ranking