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 monitorin...

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Main Authors: Yuankui Wang, Hai Liu, Qingyuan Li, Xinchen Wang, Zizhao Zhou, Haiyang Xu, Dahai Zhang, Peng Qian
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/5/1026
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author Yuankui Wang
Hai Liu
Qingyuan Li
Xinchen Wang
Zizhao Zhou
Haiyang Xu
Dahai Zhang
Peng Qian
author_facet Yuankui Wang
Hai Liu
Qingyuan Li
Xinchen Wang
Zizhao Zhou
Haiyang Xu
Dahai Zhang
Peng Qian
author_sort Yuankui Wang
collection DOAJ
description 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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series Energies
spelling doaj-art-c749d0fb645c44fa9292e2971bd7656f2025-08-20T02:05:09ZengMDPI AGEnergies1996-10732025-02-01185102610.3390/en18051026Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind TurbinesYuankui Wang0Hai Liu1Qingyuan Li2Xinchen Wang3Zizhao Zhou4Haiyang Xu5Dahai Zhang6Peng Qian7Ocean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaWith 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.https://www.mdpi.com/1996-1073/18/5/1026nonstationary signaloffshore wind turbinemulti-componenent signal decompositionorder trackingtime–frequency ridge extraction
spellingShingle Yuankui Wang
Hai Liu
Qingyuan Li
Xinchen Wang
Zizhao Zhou
Haiyang Xu
Dahai Zhang
Peng Qian
Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
Energies
nonstationary signal
offshore wind turbine
multi-componenent signal decomposition
order tracking
time–frequency ridge extraction
title Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
title_full Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
title_fullStr Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
title_full_unstemmed Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
title_short Overview of Condition Monitoring Technology for Variable-Speed Offshore Wind Turbines
title_sort overview of condition monitoring technology for variable speed offshore wind turbines
topic nonstationary signal
offshore wind turbine
multi-componenent signal decomposition
order tracking
time–frequency ridge extraction
url https://www.mdpi.com/1996-1073/18/5/1026
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