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

Jae-Kyung Lee, Joon-Young Park, Ki-Yong Oh, Seung-Hwan Ju and Jun-Shin Lee

Renewable Energy, 2015, vol. 79, issue C, 209-218

Abstract: 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.

Keywords: Wind turbine; Blade monitoring; Health monitoring; Signal transformation (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:79:y:2015:i:c:p:209-218

DOI: 10.1016/j.renene.2014.11.030

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