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2019 | OriginalPaper | Chapter

9. Structural Health Monitoring of Wind Turbines Using a Digital Image Correlation System on a UAV

Authors : Ashim Khadka, Yaomin Dong, Javad Baqersad

Published in: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Publisher: Springer International Publishing

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Abstract

Unmanned aerial vehicles (UAVs) have recently emerged as a robust tool for remote inspection and data acquisition at places that are either inaccessible or riskier to perform measurements. To quantify the level of strain/stress and loading conditions that the rotating structures such as wind turbine experience during operation, an approach is proposed that can perform a nondestructive evaluation of these rotating structures using non-contact, three-dimensional (3D) digital image correlation (DIC). This technique addresses the benefit of non-interference with structure functionality and can be used for rotating or non-rotating structures. In this project, a synchronized set of a stereo camera system is used to acquire the images of a rotating turbine. These images are processed to obtain displacement, geometry, and strain over the wind turbine blades during deformation.

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Title: Structural Health Monitoring of Wind Turbines Using a Digital Image Correlation System on a UAV
Authors: Ashim Khadka
Yaomin Dong
Javad Baqersad
Publisher: Springer International Publishing
Book: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6
Print ISBN: 978-3-030-12934-7

Electronic ISBN: 978-3-030-12935-4

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-12935-4_9

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