The present disclosure relates to a system and method for detecting an aircraft energy anomaly using an artificial neural network learning model. A system for detecting an aircraft energy anomaly using an artificial neural network learning model according to the present disclosure includes an input interface device for receiving ADS-B (Automatic Dependent Surveillance-Broadcast) data, a memory storing a program which generates a specific energy feature for energy state analysis by extending the ADS-B data through a preprocessing, and a processor for executing the program, wherein the processor generates an energy distribution model by the use of the specific energy feature, and performs artificial neural network-based energy anomaly learning.


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    Titel :

    SYSTEM AND METHOD FOR DETECTING AIRCRAFT ENERGY ANOMALY USING NEURAL NETWORK MODEL


    Beteiligte:
    PARK NOH-SAM (Autor:in) / KIM JI YEON (Autor:in) / JANG JONG HYUN (Autor:in)

    Erscheinungsdatum :

    2024-03-28


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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