Systems and methods for navigating an unmanned aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for modeling engine health. The method includes receiving, by one or more processors, engine data. The method includes receiving, by the one or more processors, flight test data. The method includes generating, by the one or more processors, one or more coefficients for a power assistance check (PAC) based on the engine ATP data and the received flight test data using a machine learning technique. The method includes transmitting, by the one or more processors, the one or more coefficients for the PAC to a vehicle, wherein the vehicle uses the one or more coefficients in the PAC to predict engine health.


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    Title :

    AERIAL VEHICLE ENGINE HEALTH PREDICTION


    Contributors:

    Publication date :

    2018-04-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT



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