Predicting a future needed repair and/or maintenance activity for an aircraft system such as a cabin air compressor detects a fault signal from the aircraft system, the fault signal being indicative of a fault in the aircraft system. The fault signal is logged into a machine learning computer system. A root cause of a fault signal is determined and the root cause of the fault signal is logged into the computer system. A repair of the root cause of the fault signal is determined and the repair of the root cause of the fault signal is logged into the computer system. The root cause of the fault signal and the repair of the root cause of the fault signal are merged, creating a classification of a future fault signal, a future root cause of the future fault signal and future repair of the future root cause.


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    Titel :

    Predicting a repair and maintenance activity for an aircraft system


    Beteiligte:
    GAUTAM SRISHTI (Autor:in) / CHOPRA SEEMA (Autor:in) / BETZ FRANZ (Autor:in) / MOHARIR AKSHATA KISHORE (Autor:in)

    Erscheinungsdatum :

    2023-11-14


    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 / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



    PREDICTING A REPAIR AND MAINTENANCE ACTIVITY FOR AN AIRCRAFT SYSTEM

    GAUTAM SRISHTI / CHOPRA SEEMA / BETZ FRANZ et al. | Europäisches Patentamt | 2021

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