Robotic deployment of stabilized shearography unit for wind turbine blade inspection
Conference paper
Marques, V. and Sattar, T. (2022). Robotic deployment of stabilized shearography unit for wind turbine blade inspection. CLAWAR 2022: Robotics in Natural Settings. Springer. https://doi.org/10.1007/978-3-031-15226-9_35
| Authors | Marques, V. and Sattar, T. |
|---|---|
| Type | Conference paper |
| Abstract | A wind turbine blade inspection system called Winspector has been developed by a European consortium to automate the in-situ non-destructive testing of wind blades. A robot platform is winched up a wind turbine tower to reach a blade locked into a 90-degree pitch angle. The blade region to be inspected is reached by a combination of an extension ladder and a 5-axis robot arm to place an end-effector onto the blade surface. The end-effector is critical to the success of the shearography technique used to detect subsurface defects when the blade is experiencing inevitable out-of-plane, in-plane, and root-to-tip vi-brations. The paper describes the development of the end-effector which carries the shearography unit and ensures (with passive compliance and design based on analysis of aerodynamic blade shapes) that the unit remains at a constant distance from blade surface in the presence of blade vibrations. The system has been tested with three separate field trials in a wind farm near Athens in Greece. Sub-surface defect detection with shearography has been successfully demon-strated. |
| Keywords | Robotic in-situ inspection of wind blades; Measurement of wind blade vibrations; Shearography NDT of wind blades |
| Year | 2022 |
| Journal | Robotics in Natural Settings - Lecture Notes in Networks and Systems (LNNS) |
| Publisher | Springer |
| Journal citation | 530, pp. 367-379 |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-15226-9_35 |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 25 Aug 2022 | |
| Publication process dates | |
| Accepted | 22 Jul 2022 |
| Deposited | 20 Sep 2022 |
| ISBN | 978-3-031-15226-9 |
| Web address (URL) of conference proceedings | https://link.springer.com/book/10.1007/978-3-031-15226-9 |
| Additional information | The authors , under exclusive licence to Springer Nature Switzerland AG 2023 J.M> Cascalho et al. (Eds): CLAWAR 2022, LNNNs 530, pp 367-379, 2023 |
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| Sattar_Robotic deployment of Shearography.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
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