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Fault detection and classification of wind turbine blades based on machine learning
更新时间：2026-02-03

    • Fault detection and classification of wind turbine blades based on machine learning

    • “The research progress in the field of wind turbine blade fault detection was introduced, and relevant experts proposed a machine learning based wind turbine blade fault detection and classification method, providing a new solution to improve the accuracy of fault classification.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3119-3130(2025)
    • 作者机构：

      1.吉林大学 通信工程学院，长春 130012

      2.华锐风电科技（江苏）有限公司，江苏 盐城 224056

      3.吉林大学 计算机科学与技术学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20240617    

      CLC： TP274

    • Received：03 June 2024，

      Published：01 October 2025

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  • ZHOU Qiu-zhan,MU Yan,WU Hui-nan,et al.Fault detection and classification of wind turbine blades based on machine learning[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3119-3130. DOI： 10.13229/j.cnki.jdxbgxb.20240617.

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