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Publications/2025
Journal Articles2025

DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation

Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko, Anatoliy Sachenko, Pavlo Radiuk

Energies, Vol. 18, No. 7, pp. 1823

Wind TurbineUAVTrajectory AdaptationDynamic InspectionDeep Learning
View PublicationDOI: 10.3390/en18071823

Abstract

This work introduces the Dynamic Trajectory Adaptation Method (DyTAM), a novel approach for automated wind turbine inspections using UAVs. The system employs real-time image segmentation to identify key turbine components and dynamically computes blade pitch angles, classifying them into acute, vertical, and horizontal tilts. Specialized trajectory models are tailored for each component type.

Citation

Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko, Anatoliy Sachenko, Pavlo Radiuk. "DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation". Energies, Vol. 18, No. 7, pp. 1823, 2025.

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