Fault Diagnosis for UAV Blades Using Artificial Neural Network

• Published in: Robotics (Basel) Vol. 8; no. 3; p. 59
• Main Authors: Iannace, Gino, Ciaburro, Giuseppe, Trematerra, Amelia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2019
• Subjects: acoustic measurements; Aeronautics; Aircraft; Algorithms; Archaeology; artificial neural network; Artificial neural networks; Asymmetry; Decision trees; Drone aircraft; Fault diagnosis; Global positioning systems; GPS; Machine learning; Model accuracy; Neural networks; Optimization algorithms; Preventive maintenance; Propeller blades; quadcopter UAV; Recreational use; Sensors; Signal processing; Support vector machines; Turbines; unbalanced propeller; Unmanned aerial vehicles; Vehicles; Vibration; Wavelet transforms

In recent years, unmanned aerial vehicles (UAVs) have been used in several fields including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking, hobbies and recreational use. UAVs are aircraft characterized by the absence of a human pilot on board. The extensive use of t...