A Review on Data-driven Predictive Maintenance Approach for Hydro Turbines/Generators

被引：0
|
作者：
Wang, Shewei [1 ,2 ]
Wang, Kesheng [1 ]
Li, Zhe [1 ]
机构：
[1] Norwegian Univ Sci & Technol, Dept Prod & Qual Engn, Trondheim, Norway
[2] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou, Peoples R China
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP OF ADVANCED MANUFACTURING AND AUTOMATION | 2016年 / 24卷
关键词：
Predictive maintenance; Hydro turbines generators; Data-driven model; Data mining; SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Hydroelectricity as a renewable energy to respond the increasing population and environment crisis is widely used in the world. With the Hydro Turbines/Generators (HTG) being more and more complicated, the maintenance play a more and more important role in the production management in the hydro power plant. Many researches had concentrated on the predictive maintenance for the HTG in recent years. From the perspective of data-driven, this paper reviews and summarizes the key techniques regarding data acquisition, data processing, data analysis and data mining for the predictive maintenance of HTG. Especially, it place emphasis on the data-driven models for the diagnostics and prognostics. Finally, the paper concludes the current practices and presents a future research work.
引用
收藏
页码：30 / 35
页数：6
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