Three-Dimensional Defect Measurement and Analysis of Wind Turbine Blades Using Unmanned Aerial Vehicles

• Published in: Drones (Basel) Vol. 9; no. 5; p. 342
• Main Authors: Hung, Chin-Yuan, Chu, Huai-Yu, Wang, Yao-Ming, Wen, Bor-Jiunn
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Air-turbines; Algorithms; Automation; Blades; Cameras; Composite materials; Defects; Drone aircraft; Heat detection; Image quality; Image reconstruction; Infrared imagery; Inspection; instant neural graphic primitives; Methods; neural radiance field; Nondestructive testing; Orthography; Preventive maintenance; Processing speed; thermal image defect; Thermal imaging; Thermography; Three dimensional analysis; three-dimensional image reconstruction; Turbine blades; Turbines; unmanned aerial vehicle; Unmanned aerial vehicles; Wind power; Wind power generation; wind turbine blade; Wind turbines; Taiwan

Wind turbines’ volume and power generation capacity have increased worldwide. Consequently, their inspection, maintenance, and repair are garnering increasing attention. Structural defects are common in turbine blades, but their detection is difficult due to the relatively large size of the blades....