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

页码：1726 / 1733

页数：8

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