Criticality Assessment of Wind Turbine Defects via Multispectral UAV Fusion and Fuzzy Logic
Energies, Vol. 18, No. 17, Article 4523
Editorial summary
RGB and thermal UAV images feed a defect detector; fuzzy rules then convert defect measurements into maintenance priorities. Detection and severity scores are evaluated on public wind-turbine datasets and compared with expert assessments. The work demonstrates a proof of concept for prioritising repairs.
Bibliographic reference
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Pavlo Radiuk, Bohdan Rusyn, Oleksandr Melnychenko, Tomasz Perzynski, Anatoliy Sachenko, Serhii Svystun, Oleg Savenko. "Criticality Assessment of Wind Turbine Defects via Multispectral UAV Fusion and Fuzzy Logic". Energies, Vol. 18, No. 17, Article 4523, 2025. https://doi.org/10.3390/en18174523
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