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September 16, 2025Structural Health Monitoring8 citations

A review of structural health monitoring for fixed offshore wind turbines driven by multisource heterogeneous data

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XFXin FangHWHonghui WangGLGuijie Liu

Key Points

  • Structural health monitoring plays a vital role in ensuring the safety of fixed offshore wind turbines with complex environmental challenges.
  • The review identifies various damage types in offshore wind turbine support structures, including cracks and corrosion.
  • This assessment applies to multisource heterogeneous data, emphasizing the importance of robust monitoring methods in marine environments.
  • The findings suggest advancements in SHM technology may promote integrated and precise health assessments of offshore wind turbines.

Abstract

Structural health monitoring (SHM) is currently the core tool for ensuring the safe operation and maintenance of fixed offshore wind turbines (OWTs). Due to the complexity of the offshore environment, the safety risks associated with fixed OWT support structures are significantly higher than those of onshore wind power structures. SHM can diagnose structural damage (such as cracks, corrosion, and deformation) early and evaluate integrity. However, SHM involves multisource heterogeneous monitoring data such as images, vibrations, strains, and acoustic emissions. There are significant differences in damage identification capabilities and technical implementation methods among different data types. Therefore, this article reviews SHM methods for OWT support structures under multisource heterogeneous data and analyzes the marine environment load and seabed foundation monitoring methods. Meantime, SHM performance enhancement technology with future trends is discussed. This article can provide references for advancing damage detection and health assessment of OWT support structure, promoting the development of this field toward intelligence, precision, and integration.

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Cite This Study

Fang et al. (2025) studied this question.

synapsesocial.com/papers/68d4538f31b076d99fa58f6dhttps://doi.org/10.1177/14759217251371673
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  5. 5Switching Kalman Filtering-Based Corrosion Detection and Prognostics for Offshore Wind-Turbine Structures2023 · 12 citations