The increasing demand for wind power requires more frequent inspections to identify
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …

The decarbonization of the electricity grid is one of the actions that can help reduce fossil
fuel emissions, and thus their impact on global warming in the future. This decarbonization …

Due to operational conditions, wind turbines may suffer from various types of damage,
including cracks and wear. Traditional methods of wind turbine damage detection face …

Damage detection of wind turbine blades can provide guidance for maintaining the wind
turbine system and reduce maintenance costs. Although machine vision has made good …

To increase the economic efficiency of utilizing wind turbines, an enhanced object detection
model based on the small version of the fifth generation of the You Look Only Once …

The efficient damage detection of the wind turbine blade (WTB), the core part of the wind
power, is very improtant to wind power. In this paper, an improved YOLOv7 model is …

The processing of aerial images taken by drones is a challenging task due to their high
resolution and the presence of small objects. The scale of the objects varies diversely …

Automatic detection of defects from wind turbine blade images has shown tremendous
progress in recent years. However, there are not many annotated datasets feasible for …

In this study, we introduce a novel wind turbines blade's damage detection framework for
reducing inspection time and improving accuracy in comparison with human. With recent …

Wind turbine blades are important part of wind power equipment, whose health is very vital
for the safe and stable operation of wind power station. However, at present, the defect …