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

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.

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Publication Details

Journal
Energies
Published
2025-02-20
DOI
https://doi.org/10.3390/en18051026
Citations
4
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
4.86

Funders

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article

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

Haiyang Xu, Yuankui Wang, Peng Fei Qian, Zhibo Zhou et al.
4 citations
Energies
Machine Fault Diagnosis Techniques
4.86
article

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

Haiyang Xu, Yuankui Wang, Peng Fei Qian, Zhibo Zhou, Dahai Zhang, Qingyuan Li, Hai Liu, Xinchen Wang
article en
4 citations

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.

EnergiesVol. 18(5)
Zhejiang Ocean University (CN), Sanya University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Zhejiang University, Bureau of Science and Technology of Zhoushan, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Machine Fault Diagnosis Techniques
4.86
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