A compact laser shearography system for on-site robotic inspection of wind turbine blades
Journal article
Li, Z., Tokhi, M.O., Zhao, Z. and Zheng, H. (2021). A compact laser shearography system for on-site robotic inspection of wind turbine blades. Journal of Artificial Intelligence and Technology. https://doi.org/10.37965/jait.2021.0008
Authors | Li, Z., Tokhi, M.O., Zhao, Z. and Zheng, H. |
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Abstract | Shearography is an optical technique in the field of non-destructive evaluation (NDE) of various materials. Its main advantages are that it is non-contact type and can cover a large area in a single inspection. As a result, although it has been widely acknowledged as an effective technique particularly for NDE of composite materials to detect subsurface defects such as delamination, disbond, cracks and impact damages, the use of shearography for on-site inspection of wind turbine blades (WTBs) has not been reported. This is due to wind causing structural vibration in the WTB. The solution in this paper is to make the shearography sit on the WTB during inspection when the WTB is parked, so that the relative motion between the shearography and the WTB is minimized within the tolerance of the shearography system. The ultimate goal of the solution is to enable a robot assisted shearography system to inspect the WTB on-site. This paper presents the research work on a new shearography design for integration with a robotic climber for on-site WTB inspection. The approach is tested and evaluated in experimental settings, and comparative assessment of the approach with other robotic NDE techniques is carried out. The results demonstrate the potential benefits and suitability of the approach for on-site robotic inspection of WTBs. |
Keywords | Shearography; Robotic climber; DSSPI; ESPI; NDE; Wind turbine blade |
Year | 2021 |
Journal | Journal of Artificial Intelligence and Technology |
Digital Object Identifier (DOI) | https://doi.org/10.37965/jait.2021.0008 |
Publication dates | |
08 Jul 2021 | |
Publication process dates | |
Accepted | 06 Jul 2021 |
Deposited | 30 Jul 2021 |
Publisher's version | License File Access Level Open |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/8x603
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Publisher's version
325.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
Accepted author manuscript
ZhiyaoLi_JAIT-2021-0008.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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