中国电力2023，Vol.56Issue(10)：43-52,10.DOI:10.11930/j.issn.1004-9649.202304059
基于HSCA-YOLOv7的风电机组叶片表面缺陷检测算法
Surface Defect Detection Algorithm for Wind Turbine Blades Based on HSCA-YOLOv7
摘要
关键词
风电机组叶片/缺陷检测/YOLOv7/注意力机制/Focal EIoUKey words
wind turbine blades/defect detection/YOLOv7/attention mechanism/Focal EIoU引用本文复制引用
李冰,白云山,赵宽,郭聪彬,翟永杰..基于HSCA-YOLOv7的风电机组叶片表面缺陷检测算法[J].中国电力,2023,56(10):43-52,10.基金项目
国家自然科学基金联合基金资助项目(可视度受限环境下跨光谱多传感信息融合的机器人语义感知与交互协作,U21A20486) （可视度受限环境下跨光谱多传感信息融合的机器人语义感知与交互协作,U21A20486）
中央高校基本科研业务费专项资金资助(20237488). This work is supported by National Natural Science Foundation of China Joint Fund Project Highlights(Semantic Perception and Interactive Cooperation of Robots in Limited-Visibility Environments with Cross-Spectral Multi-Sensor Information Fusion,No.U21A20486),the Fundamental Research Funds for the Central Universities(No.20237488). （20237488）
