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    • A review of damage detection methods for wind turbine blades

    • The global energy transition is driving the large-scale deployment of wind turbines, and the target detection technology for wind turbine blade defects based on drone image acquisition has become a research hotspot. The expert system reviewed the research progress on target detection of wind turbine blade defects, summarizing existing methods from three dimensions: image preprocessing, network improvement, and learning strategies, providing new ideas for solving detection problems.
    • Pages: 1-26(2025)   

      Received:21 September 2025

      Revised:2025-11-26

      Accepted:17 December 2025

      Online First:17 December 2025

    • DOI: 10.11834/jig.250458     

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  • Zhang Jinghong, Su Pan, Zhu Qingyuan, Zhang Chaogang, Li Bing, Cao Wangbin. A review of damage detection methods for wind turbine blades[J/OL]. Journal of Image and Graphics,2025,1-26. DOI: 10.11834/jig.250458. DOI:
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相关作者

Leng Jiaxu 重庆邮电大学计算机科学与技术学院
Mo Mengjingcheng 重庆邮电大学计算机科学与技术学院
Zhou Yinghua 重庆邮电大学计算机科学与技术学院
Ye Yongming 重庆邮电大学计算机科学与技术学院
Gao Chenqiang 重庆邮电大学通信与信息工程学院
Gao Xinbo 重庆邮电大学计算机科学与技术学院
Cai Nian 广东工业大学信息工程学院
Zhou Yang 广东工业大学信息工程学院

相关机构

College of Computer Science and Technology, Chongqing University of Posts and Telecommunications
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
School of Information Engineering, Guangdong University of Technology
College of Computer Science and Software Engineering, Hohai University
Faculty of Printing, Packaging and Digital Media, Xi’an University of Technology
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