Review of Wind Power Bearing Wear Analysis and Intelligent Lubrication Method Research
Source abstract
Abstract
With the significant penetration of wind generation, wind turbines require higher and higher lubrication performance for bearings. To improve the lubrication performance of wind power bearings, this study takes wind power bearings as the research object and comprehensively analyzes the wear forms of wind power bearings as well as intelligent lubrication methods. Firstly, the main roles and wear forms of wind turbine bearings are sorted out and analyzed. Secondly, the common lubrication problems of wind power bearings are analyzed from the bearing grease selection, lubrication mode, and lubrication status, highlighting the important influence of lubrication on bearings. Thirdly, the wind turbine bearing wisdom lubrication method research and organization, mainly including the wind power generation bearing lubrication materials, lubrication devices and monitoring methods, and other issues of research and analysis. Finally, current challenges and future development directions are summarized, which are designed to provide theoretical reference and technical support for the related research and engineering practice in the field of wind power engineering.
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Research context
OpenAlex topics: Gear and Bearing Dynamics Analysis · Tribology and Lubrication Engineering · Mechanical stress and fatigue analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
School of Computer Engineering and Digital Technology, Teesside University, Middlesbrough TS1 3BA, UK
Funding
Henan University Science and Technology In-novation Team Support Program · Training Plan for Young Backbone Teachers of North China University of Water Resources and Electric power in 2020 · Henan Province Smart Lubrication and Equipment Health Management Engineering Technology Research Center
References (100+)
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