This project aims to develop a solution for the predictive maintenance of UAVs which will mitigate the burden and risks associated with the traditional reactive and preventive maintenance. By identifying the critical data related to the failures and monitoring/modeling the behaviors of the components based on data/signals during and after the flight, this research will […]
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