Robust fault detection for wind turbine systems

被引：0

作者：

Liu, Yusheng ^{[1
]}

Yu, Ding-Li ^{[1
]}

机构：

[1] Liverpool John Moores Univ, Sch Engn Technol & Maritime Operat, Liverpool L3 5UX, Merseyside, England

来源：

PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14) | 2014年

关键词：

wind turbine; fault detection; robust observer;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposed a robust fault detection approach using observer method. The developed observer is sensitive to faults in the state equation and output equation, whilst robust to the system disturbance. The multivariable dynamics of the wind turbine system are studied and a state space model is developed. The developed fault detection approach is applied to the wind turbine system with several actuator faults, component faults and sensor faults simulated. The simulation results showed the effectiveness of the proposed approach with the fault detection residual sensitive to all the faults while robust to the disturbance.

引用

页码：38 / 42

页数：5

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