Assessing damage to wind turbine blades to support autonomous inspection

Andy Gibson; Sarinova Simandjuntak; Emily Dunkason; Hanly Bingari; Alex Fraess-Ehrfeld

doi:10.1117/12.2644972

11 January 2023 Assessing damage to wind turbine blades to support autonomous inspection

Andy Gibson, Sarinova Simandjuntak, Emily Dunkason, Hanly Bingari, Alex Fraess-Ehrfeld

Proceedings Volume 12338, Hyperspectral Imaging and Applications II; 123380A (2023) https://doi.org/10.1117/12.2644972
Event: SPIE Photonex, 2022, Birmingham, United Kingdom

Abstract

We describe results from experiments investigating how hyperspectral data might be incorporated into autonomous inspections for offshore turbines, part of Dr SUIT– (Drone Swarm for Unmanned Inspection of Wind Turbines), a collaboration funded by InnovateUK (UKRI). Imagery and point measurements were captured of small turbine blades subjected to damage by abrasion, impact and UV exposure. The technique appears effective at classifying abrasion damage to a degree comparable with conventional inspection schemes. Impact damage could be classified as ‘lower’ or ‘higher’ energies. The blades designed resilience to UV meant that little change was detected in those tests.

Citation Download Citation

Andy Gibson, Sarinova Simandjuntak, Emily Dunkason, Hanly Bingari, and Alex Fraess-Ehrfeld "Assessing damage to wind turbine blades to support autonomous inspection", Proc. SPIE 12338, Hyperspectral Imaging and Applications II, 123380A (11 January 2023); https://doi.org/10.1117/12.2644972

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