How image capturing setups influence the quality of SfM reconstructions for wind turbine blade inspection

Ivan Nikolov; Emil Krog Kruse; Claus Madsen

doi:10.1117/12.2579974

8 November 2020 How image capturing setups influence the quality of SfM reconstructions for wind turbine blade inspection

Ivan Nikolov, Emil Krog Kruse, Claus Madsen

Author Affiliations +

Proceedings Volume 11525, SPIE Future Sensing Technologies; 115251P (2020) https://doi.org/10.1117/12.2579974
Event: SPIE Future Sensing Technologies, 2020, Online Only

Abstract

Increased leading edge roughness (LER) is one of the main causes for wind turbine blade performance degradation. To ensure a consistently high energy output, the surface erosion of wind turbine blades, needs to be monitored regularly, so preventive measurements can be done. Capturing 3D surface data is becoming a more and more popular way to extract and quantify roughness on a micro level. In this paper we want to test the possibility of using Structure from Motion (SfM) 3D reconstructions for extracting surface roughness information from wind turbine blades. We test various capturing scenarios with varying horizontal and vertical image overlap, as well as varying distances to the blade, using a real blade in outdoor conditions. We analyze the quality of the reconstructions and provide a benchmark, as well as guidelines to what are the best possible capturing conditions for ensuring a high quality and noise free 3D surface results. All data from the experiments is made publicly accessible.

Conference Presentation

Citation Download Citation

Ivan Nikolov, Emil Krog Kruse, and Claus Madsen "How image capturing setups influence the quality of SfM reconstructions for wind turbine blade inspection", Proc. SPIE 11525, SPIE Future Sensing Technologies, 115251P (8 November 2020); https://doi.org/10.1117/12.2579974

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