Process Automation Instrumentation, Volume. 46, Issue 8, 22(2025)

Research on Remaining Useful Life Prediction Method of Wind Turbine Blades

LIU Jun, CAO Wen'ao*, XIA Jiachen, and MA Chenkai
Author Affiliations
  • College of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China
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    References(5)

    [2] [2] YANG W,PENG Z,WEI K,et al. Structural health monitoring of composite wind turbine blades:challenges,issues and potential solutions[J]. IET Renewable Power Generation,2017,11 (4):411-416.

    [4] [4] BOUTROUS K,PUIG V,NEJIARI F. A set-based prognostics approach for wind turbine blade health monitoring [J]. IFAC-Papers OnLine,2022,55(6):402-407.

    [5] [5] HOKSBERGEN T H,AKKERMAN R,BARAN I. Fatigue lifetime prediction model for leading edge protection coating systems of wind turbine blades[J]. Tribology International,2023,189:12.

    [8] [8] YANG Q,LUAN W,YU S L,et al. Rotational restraint to purlins provided by standing seam roof systems [J]. Advances in Civil Engineering,2019(1):1-8.

    [10] [10] International Electrotechnical Commission. Wind energy generation systems-part 3-1:design requirements for fixed offshore wind turbines[S]. International Standard IEC,2019.

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    LIU Jun, CAO Wen'ao, XIA Jiachen, MA Chenkai. Research on Remaining Useful Life Prediction Method of Wind Turbine Blades[J]. Process Automation Instrumentation, 2025, 46(8): 22

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    Paper Information

    Received: Feb. 4, 2025

    Accepted: Aug. 26, 2025

    Published Online: Aug. 26, 2025

    The Author Email: CAO Wen'ao (c1024452333@163.com)

    DOI:10.16086/j.cnki.issn1000-0380.2025020041

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