Review of Research on Condition Monitoring for Improved O&M of Offshore Wind Turbine Drivetrains

被引：0
|
作者：
Jan Helsen
机构：
[1] Vrije Universiteit Brussel/OWI-lab,
来源：
Acoustics Australia | 2021年 / 49卷
关键词：
Wind turbine; Offshore; Drivetrain; Condition monitoring; Prognosis; Vibration; Machine learning; O&M;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper discusses trends in condition monitoring of modern offshore wind turbines. First an overview is given of design changes that have been made over the years to large offshore wind turbines and how this resulted in novel opportunities from a monitoring perspective. Similarly, the evolution in data source availability is discussed. From these opportunities, some ongoing research activities in the field are discussed and how they fit with the open challenges. This list is far from exhaustive. It gives an overview of some capita selecta. Particularly, the fields of advanced signal processing and requirement for innovations towards prognostic frameworks are highlighted.
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页码：251 / 258
页数：7
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