06.2 - Flight Dynamics and Control (UAV related)
IN-FLIGHT VIBRATION SIGNAL BASED DETECTION AND LOCALIZATION FOR UAV PROPELLER ANOMALIES UNDER UNCERTAINTY VIA MACHINE LEARNING TYPE METHODS
I.A. Iliopoulos¹, J.S. Korolis¹, S.D. Fassois¹, J.S. Sakellariou¹; ¹University of Patras, Greece
In this study, an unsupervised machine learning method for in-flight vibration-based anomaly detection in UAV propellers is presented. Effective detection of single and multiple rotor faults in various configurations may be accomplished using vibration signals, even from a single sensor, ensuring the safety and reliability of UAV operations.