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Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model
This paper describes the development of an on-board data-driven system that can monitor and localize the fault in a quadrotor unmanned aerial vehicle (UAV) and at the same time, evaluate the degree of damage of the fault under real scenarios.
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