Transformation algorithm of wind turbine blade moment signals for blade condition monitoring

被引：36

作者：

Lee, Jae-Kyung ^{[1
]}

Park, Joon-Young ^{[1
]}

Oh, Ki-Yong ^{[2
]}

Ju, Seung-Hwan ^{[1
]}

Lee, Jun-Shin ^{[1
]}

机构：

[1] KEPCO Res Inst, Div Offshore Wind Power, Taejon, South Korea

[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA

来源：

RENEWABLE ENERGY | 2015年 / 79卷

关键词：

Wind turbine; Blade monitoring; Health monitoring; Signal transformation;

D O I：

10.1016/j.renene.2014.11.030

中图分类号：

X [环境科学、安全科学];

学科分类号：

083001 [环境科学];

摘要：

To simplify signal analysis on wind turbine blades and enable their efficient monitoring, this paper presents a novel method of transforming blade moment signals on a horizontal axis 3-blade wind turbine. Instead of processing 3-blade moment signals directly, the proposed algorithm transforms the three sinusoidal signals into two static signals relative to the center of blade rotation through vector synthesis and coordinate transformation, and eliminates frequency components due to blade rotation from the obtained signals. Moreover, as an alternative to a rotational sensor, a blade rotation angle estimator is introduced. Its effectiveness was confirmed through simulations and field tests on an actual wind turbine. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：209 / 218

页数：10

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