Techniques are described for assessing the health of an unmanned vehicle such as an unmanned aerial vehicle (UAV). In some embodiments, sensors corresponding to subsystems of the UAV may be utilized to assess the health of a particular subsystem. Predictive models may be stored within memory of the UAV to enable such assessments to be performed at the UAV (e.g., during performance of a mission). Sensor data collected from sensors on the UAV may be provided as input for a predictive model associated with a particular subsystem. The predictive model may output a failure prediction indicating a likelihood, and in some cases, a time by which failure of the subsystem is predicted to occur given the sensor data. In some embodiments, one or more corrective actions may be identified and triggered based, at least in part, on the failure prediction.


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    Title :

    Prognostics and health management system


    Contributors:

    Publication date :

    2018-11-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B64C AEROPLANES , Flugzeuge / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / G08C Übertragungssysteme für Messwerte, Regel-, Steuer- oder ähnliche Signale , TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS



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