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Enhancing Offshore Wind Turbine Integrity Management: A Bibliometric Analysis of Structural Health Monitoring, Digital Twins, and Risk-Based Inspection

Author

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  • Thomas Bull

    (Department of the Built Environment, Aalborg University, DK-9220 Aalborg, Denmark
    NIRAS A/S, DK-3450 Allerod, Denmark)

  • Min Liu

    (School of Civil Engineering, Harbin Institute of Technology, Harbin 150096, China
    North-Consulting, DK-9530 Aalborg, Denmark)

  • Linda Nielsen

    (North-Consulting, DK-9530 Aalborg, Denmark)

  • Michael Havbro Faber

    (NIRAS A/S, DK-3450 Allerod, Denmark
    School of Civil Engineering, Harbin Institute of Technology, Harbin 150096, China
    North-Consulting, DK-9530 Aalborg, Denmark
    Civil Research Group, Lusófona University, PT-1749-024 Lisbon, Portugal)

Abstract

The grand challenge of sustainable development, increased demands for resilient critical infrastructure systems, and cost efficiency calls for thinking and acting “out of the box”. We must strive to search for, identify, and utilize new and emerging technologies and new combinations of existing technologies that have the potential to improve present best practices. In integrity management of, e.g., bridge, offshore, and marine structures, relatively new technologies have shown substantial potentials for improvements that not least concern structural health monitoring (SHM), digital twin (DT)-based structural and mechanical modeling, and risk-based inspection (RBI) and maintenance planning (RBI). The motivation for the present paper is to investigate and document to what extent such technologies in isolation or jointly might have the potential to improve best practices for integrity management of offshore wind turbine structures. In this pursuit, the present paper conducts a comprehensive bibliometric analysis to explore the current landscape of advanced technologies within the offshore wind turbine industry suitable for integrity management. It examines the integration of these technologies into future best practices, taking into account normative factors like risk, resilience, and sustainability. Through this analysis, the study sheds light on current research trends and the degree to which normative considerations influence the application of RBI, SHM, and DT, either individually or in combination. This paper outlines the methodology used in the bibliometric study, including database selection and search term criteria. The results are presented through graphical representations and summarized key findings, offering valuable insights to inform and enhance industry practices. These key findings are condensed into a road map for future research and development, aimed at improving current best practices by defining a series of projects to be undertaken.

Suggested Citation

  • Thomas Bull & Min Liu & Linda Nielsen & Michael Havbro Faber, 2025. "Enhancing Offshore Wind Turbine Integrity Management: A Bibliometric Analysis of Structural Health Monitoring, Digital Twins, and Risk-Based Inspection," Energies, MDPI, vol. 18(3), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:681-:d:1581901
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    References listed on IDEAS

    as
    1. Peng Guo & Nan Bai, 2011. "Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods," Energies, MDPI, vol. 4(11), pages 1-17, November.
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