A Novel Method and Its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines

被引：67
|
作者：
Oh, Ki-Yong [1 ]
Park, Joon-Young [2 ]
Lee, Jun-Shin [2 ]
Epureanu, Bogdan I. [1 ]
Lee, Jae-Kyung [2 ]
机构：
[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
[2] Korea Elect Power Corp, Res Inst, Offshore Wind Res & Dev Ctr, Taejon 305760, South Korea
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2015年 / 64卷 / 06期
关键词：
Blade monitoring; condition monitoring system; failure diagnosis; structural health monitoring; wind turbines; SENSOR;
D O I：
10.1109/TIM.2014.2381791
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：
A new diagnostic method is proposed to efficiently monitor the structural health and detect damages in wind turbine blades. A high-resolution real-time blade condition monitoring system that considers the harsh turbine operating environment and uses optical sensors and a wireless network is presented. A hybrid algorithm, which merges probabilistic analysis, design loads, and real-time load estimates, is introduced to enhance operational safety and reliability. Moreover, the alarm limits are updated every 10 min through a learning algorithm to further improve reliability. The proposed algorithm was implemented in a blade monitoring system. The effectiveness of the proposed algorithm was demonstrated for a 3-MW wind turbine in the Yeongheung wind farm.
引用
收藏
页码：1726 / 1733
页数：8
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