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Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

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  • Han Peng

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Songyin Li

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Linjian Shangguan

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Yisa Fan

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Hai Zhang

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

Abstract

Power generation from wind farms is growing rapidly around the world. In the past decade, wind energy has played an important role in contributing to sustainable development. However, wind turbines are extremely susceptible to component damage under complex environments and over long-term operational cycles, which directly affects their maintenance, reliability, and operating costs. It is crucial to realize efficient early warning of wind turbine failure to avoid equipment breakdown, to prolong the service life of wind turbines, and to maximize the revenue and efficiency of wind power projects. For this purpose, wind turbines are used as the research object. Firstly, this paper outlines the main components and failure mechanisms of wind turbines and analyzes the causes of equipment failure. Secondly, a brief analysis of the cost of wind power projects based on equipment failure is presented. Thirdly, the current key technologies for intelligent operation and maintenance (O&M) in the wind power industry are discussed, and the key research on decision support systems, fault diagnosis models, and life-cycle costs is presented. Finally, current challenges and future development directions are summarized.

Suggested Citation

  • Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8333-:d:1151548
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    3. Yanfei Liu & Wentao Wang & Wenjun Wang & Chengbo Yu & Bowen Mao & Dongfang Shang & Yucong Duan, 2023. "Purpose-Driven Evaluation of Operation and Maintenance Efficiency and Safety Based on DIKWP," Sustainability, MDPI, vol. 15(17), pages 1-22, August.

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