Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-301-2018
https://doi.org/10.5194/wes-3-301-2018
Research article
 | 
28 May 2018
Research article |  | 28 May 2018

Establishing a robust testing approach for displacement measurement on a rotating horizontal-axis wind turbine

Nadia Najafi and Allan Vesth

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Cited articles

Baqersad, J., Niezrecki, C., and Avitabile, P.: Full-field dynamic strain prediction on a wind turbine using displacements of optical targets measured by stereophotogrammetry, Mech. Syst. Signal Pr., 62–63, 284–295, https://doi.org/10.1016/j.ymssp.2015.03.021, 2015. 
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Faugeras, O.: Three-Dimensional Computer Vision: a Geometric Viewpoint, MIT Press, London, UK, 1993. 
Fukuda, Y., Feng, M. Q., Narita, Y., Kaneko, S., and Tanaka, T.: Vision-Based Displacement Sensor for Monitoring Dynamic Response Using Robust Object Search Algorithm, 4725–4732, IEEE Sens. J., 13, https://doi.org/10.1109/ICSENS.2010.5689997, 2013. 
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Short summary
This paper presents a well-defined procedure for measuring the displacement on a HAWT via stereo photometry. The method is demonstrated by measuring displacement during operation of a scaled down turbine model. The method is developed in (1) camera calibration and (2) tracking algorithm. We introduce an efficient, easy and practical calibration method for measurement in the large field of views that is always a challenge. Tracking algorithm also tracks the markers during rotation successfully.
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