Detecting anomalies in unmanned aerial vehicles via the optimization method

This study investigated the usability of optimization for anomaly detection of unmanned aerial vehicles (UAV). This research detects anomalies via the particle swarm optimization (PSO) method, focusing on the motor and blade faults. The vibration of fault data was measured via acceleration. Combinin...

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Bibliographic Details

Main Authors:	Fatimah, Dg Jamil, Mohammad Fadhil, Abas, Rajaram, Vasantha Raj, Norhafidzah, Mohd Saad, Mohd Firdaus, Abas
Format:	Conference or Workshop Item
Language:	en
Published:	Springer International Publishing 2024
Subjects:	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics
Online Access:	https://umpir.ump.edu.my/id/eprint/46666/1/Detecting%20anomalies%20in%20unmanned%20aerial%20vehicles.pdf https://umpir.ump.edu.my/id/eprint/46666/ https://doi.org/10.1007/978-981-97-3851-9_17
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