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Intelligent detection method for surface defects on wind turbine blades based on deep learning UAV inspection
Image Processing | 更新时间：2026-03-02

    • Intelligent detection method for surface defects on wind turbine blades based on deep learning UAV inspection

    • “A new breakthrough has been made in the field of wind power operation and maintenance. Relevant experts have proposed a three-stage intelligent detection method for unmanned aerial vehicle aerial photography based on deep learning, and a 15000 image dataset has been constructed for verification, effectively solving the problem of surface defect detection of wind turbine blades and providing strong support for intelligent wind power operation and maintenance.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 2, Pages: 267-279(2026)

    • DOI：10.37188/CJLCD.2026-0002    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2026-0002    

    • Received：04 January 2026，

      Revised：2026-01-22，

      Published：05 February 2026

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  • ZHENG Xin, TIAN Lin, ZHANG Yan, et al. Intelligent detection method for surface defects on wind turbine blades based on deep learning UAV inspection[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 267-279. DOI： 10.37188/CJLCD.2026-0002. CSTR： 32172.14.CJLCD.2026-0002.

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