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Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades

Author

Listed:
  • Wenjie Wang

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

  • Yu Xue

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

  • Chengkuan He

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

  • Yongnian Zhao

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

Abstract

With global warming and the depletion of fossil energy sources, renewable energy is gradually replacing non-renewable energy as the main energy in the future. As one of the fastest growing renewable energy sources, the safety and reliability of wind energy have been paid more and more attention. The size of modern wind turbines is becoming larger and larger. As the main component of wind turbines to capture energy, the blade is often damaged by various complex environments and irregular loads. Therefore, the health monitoring and damage identification of wind turbine blades have become a main research focus. At present, in addition to the overview of various detection methods of wind turbine blades, there is a lack of comprehensive classifications and overviews of the main damage types, damage-generation mechanisms, and basic principles of the damage-detection technology of wind turbine blades. In this paper, firstly, the common fault types of wind turbine blades, such as trailing edge cracking, lightning strike, leading edge corrosion pollution, icing, and delamination, as well as their generation mechanism, are comprehensively analyzed. Then, the basic principles and the latest research progress of the current main detection technologies, such as vision, ultrasonic, thermal imaging, vibration, acoustic emission, and so on, are comprehensively reviewed. The advantages and limitations of the various detection technologies for practical application are summarized. Finally, through a comparative analysis of the various damage-detection technologies, we try to find potential future research directions, and draw conclusions. This paper will provide a reference for understanding the mechanism behind the main damage types and the damage-detection methods of wind turbine blades. It has important reference value for further promoting practical research of wind turbine blade damage-detection technology and grasping this research direction.

Suggested Citation

  • Wenjie Wang & Yu Xue & Chengkuan He & Yongnian Zhao, 2022. "Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades," Energies, MDPI, vol. 15(15), pages 1-31, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5672-:d:880448
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    References listed on IDEAS

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    Cited by:

    1. Chunsheng Hu & Yong Zhao & Fangjuan Cheng & Zhiping Li, 2023. "Multi-Object Detection Algorithm in Wind Turbine Nacelles Based on Improved YOLOX-Nano," Energies, MDPI, vol. 16(3), pages 1-13, January.
    2. Yuan Yao & Guozhong Wang & Jinhui Fan, 2023. "WT-YOLOX: An Efficient Detection Algorithm for Wind Turbine Blade Damage Based on YOLOX," Energies, MDPI, vol. 16(9), pages 1-15, April.
    3. Małgorzata Jastrzębska, 2022. "Installation’s Conception in the Field of Renewable Energy Sources for the Needs of the Silesian Botanical Garden," Energies, MDPI, vol. 15(18), pages 1-28, September.

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