Working Condition Identification Method of Wind Turbine Drivetrain

被引：1

作者：

Huang, Yuhao ^{[1
]}

Chen, Huanguo ^{[1
,2
]}

Dai, Juchuan ^{[3
]}

Tao, Hanyu ^{[1
]}

Wang, Xutao ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Sch Mech Engn, Hangzhou 310018, Peoples R China

[2] Zhejiang Prov Key Lab Reliabil Technol Mech & Elec, Hangzhou 310018, Peoples R China

[3] Hunan Univ Sci & Technol, Sch Mech Engn, Xiangtan 411201, Peoples R China

来源：

MACHINES | 2023年 / 11卷 / 04期

关键词：

wind turbine; drivetrain; working conditions; working conditions identification; SYSTEMS;

D O I：

10.3390/machines11040495

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The operation state of the wind turbine drivetrain is complex and variable, making it difficult to accurately evaluate under the drivetrain's anomalies. In order to accurately identify the operating state of the main drivetrain, a method for working condition identification is proposed. Firstly, appropriate working condition identification parameters are selected and distinguished from the working condition feature parameters. Secondly, the aerodynamic power prediction model is established, which solves the problem of inaccurate theoretical estimation. Finally, after the historical working conditions are classified, the working condition identification model is established, and the proposed method is analyzed and validated by cases. The results show that the method can accurately identify the working conditions, avoiding the influence of an abnormal state of drivetrain, and provide a basis for real-time state monitoring and evaluation.

引用

页数：13

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