Determining the Criticality Assessment of Defects on Wind Turbine Components Detected by UAV Sensors
IntelITSIS 2025 · CEUR Workshop Proceedings 3963, pp. 351-362
Editorial summary
Thermal and visible UAV images feed an ensemble detector, then fuzzy rules rank the detected defects by criticality. Tests compare detection quality with single-sensor and single-model approaches. The resulting priority scores are also compared with expert assessments to examine their usefulness for maintenance planning.
Bibliographic reference
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Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Andrii Lysyi, Anatoliy Sachenko. "Determining the Criticality Assessment of Defects on Wind Turbine Components Detected by UAV Sensors". IntelITSIS 2025 · CEUR Workshop Proceedings 3963, pp. 351-362, 2025.
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