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Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines

Author

Listed:
  • Yuankui Wang

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Hai Liu

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Qingyuan Li

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Xinchen Wang

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Zizhao Zhou

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Haiyang Xu

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Dahai Zhang

    (Ocean College, Zhejiang University, Zhoushan 316021, China
    Hainan Institute of Zhejiang University, Sanya 572025, China)

  • Peng Qian

    (Ocean College, Zhejiang University, Zhoushan 316021, China
    Hainan Institute of Zhejiang University, Sanya 572025, China)

Abstract

With the increasing complexity of offshore wind turbine structures and the rapid expansion of wind power projects, efficient, reliable, and robust fault diagnosis and condition monitoring methods have become crucial for effective operation and maintenance management. Wind turbine condition monitoring plays a pivotal role in improving operational efficiency. However, most existing fault diagnosis techniques based on vibration signals are designed for rotating mechanical equipment operating at constant speeds. In contrast, offshore wind turbines experience continuously varying speeds, especially during start-up, shutdown, and under fluctuating wind conditions, leading to rotor speed variations that complicate monitoring. This paper presents a comprehensive analysis of the vibration and fault characteristics of key components in the main drivetrain of offshore wind turbines, with a particular focus on monitoring non-stationary (variable speed) operations. Unlike conventional approaches, this work specifically addresses the challenges posed by the dynamic operating conditions of offshore wind turbines, providing insights into multi-component vibration signal feature extraction and fault diagnosis under variable-speed scenarios. The comparative analysis offered in this paper highlights the limitations of current methods and outlines key directions for future research, emphasizing practical solutions for fault diagnosis and condition monitoring in offshore wind turbine operations under variable-speed conditions. This study not only fills a gap in the current literature but also provides valuable guidance for enhancing the reliability and efficiency of offshore wind turbine maintenance.

Suggested Citation

  • Yuankui Wang & Hai Liu & Qingyuan Li & Xinchen Wang & Zizhao Zhou & Haiyang Xu & Dahai Zhang & Peng Qian, 2025. "Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines," Energies, MDPI, vol. 18(5), pages 1-24, February.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1026-:d:1595587
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    References listed on IDEAS

    as
    1. Dahai Zhang & Yiming Wang & Yongjian Jiang & Tao Zhao & Haiyang Xu & Peng Qian & Chenglong Li, 2024. "A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis," Energies, MDPI, vol. 17(4), pages 1-16, February.
    2. Peng Qian & Xiandong Ma & Dahai Zhang, 2017. "Estimating Health Condition of the Wind Turbine Drivetrain System," Energies, MDPI, vol. 10(10), pages 1-19, October.
    3. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    4. Liu, W.Y. & Tang, B.P. & Han, J.G. & Lu, X.N. & Hu, N.N. & He, Z.Z., 2015. "The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 466-472.
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