Health Monitoring System for Offshore Wind Jacket Structures Based on Digital Twin: Literature Review

DOI

10.2991/978-94-6463-902-5_23How to use a DOI?

Keywords

Digital twin; offshore wind farm platform; fault diagnosis; monitoring system

Abstract

Global wind energy development has been rapid since the 21st century, with offshore wind power platforms becoming increasingly popular. Due to the complex environmental loads on jacket structures and the resulting high maintenance costs, there is an urgent need to monitor the health of jackets. Digital twin (DT) technology offers a novel approach to monitoring the condition of offshore wind power jackets. The aim of this paper is to use DT technology to construct a virtual model of the physical jacket structure, enable real-time data interaction and life prediction, and solve the problems of high cost and poor real-time performance. Through a review of relevant literature, the paper analyzes the fatigue analysis methods and real-time monitoring systems for jackets, as well as the feasibility of integrating nonlinear methods into fatigue analysis. Through a review of the relevant literature, the study analyses the application of DT technology in sensor performance and regional optimisation, as well as the integration of non-linear methods in fatigue analysis. The paper proposes a key technological pathway involving sensors-neural network-DT, and to promote the development of a high-precision, low-cost, real-time, intelligent maintenance system and provide theoretical support and practical guidance for addressing structural reliability issues.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruize Shi
AU  - Zhibing Miao
PY  - 2025
DA  - 2025/12/16
TI  - Health Monitoring System for Offshore Wind Jacket Structures Based on Digital Twin: Literature Review
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 243
EP  - 251
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_23
DO  - 10.2991/978-94-6463-902-5_23
ID  - Shi2025
ER  -