Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units

dc.contributor.authorSvystun, Serhii
dc.contributor.authorMelnychenko, Oleksandr
dc.contributor.authorRadiuk, Pavlo
dc.contributor.authorSavenko, Oleg
dc.contributor.authorSachenko, Anatoliy
dc.contributor.authorLysyi, Andrii
dc.date.accessioned2024-11-28T16:34:35Z
dc.date.available2024-11-28T16:34:35Z
dc.date.issued2024-11-26
dc.description.abstractThe research presents an automated method for determining the trajectory of an unmanned aerial vehicle (UAV) for wind turbine inspection. The proposed method enables efficient data collection from multiple wind installations using UAV optical sensors, considering the spatial positioning of blades and other components of the wind energy installation. It includes component segmentation of the wind energy unit (WEU), determination of the blade pitch angle, and generation of optimal flight trajectories, considering safe distances and optimal viewing angles. The results of computational experiments have demonstrated the advantage of the proposed method in monitoring WEU, achieving a 78% reduction in inspection time, a 17% decrease in total trajectory length, and a 6% increase in average blade surface coverage compared to traditional methods. Furthermore, the process minimizes the average deviation from the optimal trajectory by 68%, indicating its high accuracy and ability to compensate for external influences.
dc.identifier.citationDynamic trajectory adaptation for efficient UAV inspections of wind energy units / S. Svystun et al. 2024 14th International Conference on Dependable Systems, Services and Technologies (DESSERT’2024) : Proceedings, Athens, Greece, 11–13 October 2024 / ed. by V. Kharchenko et al. New York, NY, USA, 2024. P. 1–7. URL: https://doi.org/10.48550/arXiv.2411.17534
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17155
dc.language.isoen
dc.publisherIEEE, Inc.
dc.subjectunmanned aerial vehicles
dc.subjectwind turbine inspection
dc.subjectautomated trajectory determination
dc.subjectdynamic trajectory adaptation
dc.subjectimage segmentation
dc.subjectcomputer vision, optical sensors
dc.subjectwind energy unit
dc.subject.udc621.548:629.735.33
dc.titleDynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units
dc.typeПрепринт
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