State warning of wind turbine gearbox based on gated recurrent unit fusing multi-source data

被引：0
|
作者：
Yong B. [1 ]
Chen J. [1 ]
Zhang F. [2 ]
Tang B. [1 ]
机构：
[1] College of Mechanical Engineering, Chongqing University, Chongqing
[2] CSIC Haizhuang Wind Power Company Limited, Chongqing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 08期
关键词：
Gated recurrent unit network; Gearbox; Multi-source data fusion; State monitoring; Wind turbine;
D O I：
10.19912/j.0254-0096.tynxb.2019-0736
中图分类号：
学科分类号：
摘要：
Multi-source data fusion is an effective method for state warning of wind turbine gearbox. Aiming at the low precision problems of state warning caused by lack of consideration of time series information in existing machine learning methods, this paper proposesa a new state warning method of wind turbine gearbox based on the gated recurrent unit (GRU) network fusing multi-source data. Firstly, the oil hydraulic pressure of wind turbine gearbox which is insensitive to the environment is chosen as the predictor of the state warning model. While the supervisory control and date acquisition (SCADA) parameters closely related to the oil hydraulic pressure are selected as the input of the early warning model by the correlation coefficient method. Then, the characteristics of time series of SCADA parameters are fused by the chain structure and gate functions of GRU, the predicted value is obtained and the residual is calculated. Finally, the state of wind turbine gearbox is pre-warned according to the trend of residual. The effectiveness of state warning is proved by the wind farm operation data © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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收藏
页码：421 / 425
页数：4
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