WTBD-YOLOv8: An Improved Method for Wind Turbine Generator Defect Detection
Liang Tong,
Changlong Fan,
Zhongbo Peng
et al.
Abstract:Wind turbine blades are the core components responsible for efficient wind energy conversion and ensuring stability. To address challenges in wind turbine blade damage detection using image processing techniques such as complex image backgrounds, decreased detection performance due to high image resolution, prolonged inference time, and insufficient recognition accuracy, this study introduces an enhanced wind turbine blade damage detection model named WTDB-YOLOv8. Firstly, by incorporating the GhostCBS and DFS… Show more
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