The invention relates to a method of analyzing flight data recorded during N flights of at least one aircraft, by means of a flight data recorder of an aircraft, the data being grouped together by flight i in a signature vector of the flight Xi of size d, the components of which correspond to data recorded during said flight i of the aircraft, a flight i being thus defined by the signature vector Xi, the method comprising the following steps: Gaussian kernel entropy component analysis of the flight signatures Xi to obtain a zone of normal flights and classifying the flight signatures Xi with respect to their distance to said zone; determining, for each flight i, an abnormality score zi defined by the distance of a flight signature Xi with respect to the zone of normal flights; detecting, as a function of the abnormality score zi, at least one abnormal flight.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Method of analysing flight data


    Beteiligte:

    Erscheinungsdatum :

    2016-10-25


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G01D MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE , Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



    METHOD OF ANALYSING FLIGHT DATA

    CHRYSANTHOS NICOLAS | Europäisches Patentamt | 2019

    Freier Zugriff

    OpenSky Report 2020: Analysing in-flight emergencies using big data

    Olive, Xavier / Tanner, Axel / Strohmeier, Martin et al. | IEEE | 2020


    METHOD OF ANALYSING AIRCRAFT COLLECTED FLIGHT DATA FOR THE PURPOSE OF THEIR DIVISION BY THE FLIGHT PHASES

    GARNE DE LABARER EDUAR / LEFEBVR VIKTOR | Europäisches Patentamt | 2017

    Freier Zugriff

    Analysing and improving pilots' auto flight system mode awareness

    Wies, Matthias / Technische Universität Braunschweig | TIBKAT | 2016