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

Ivan Nikolov, Emil Krog Kruse, Claus Madsen

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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.
TitelSPIE Future Sensing Technologies
RedaktørerMasafumi Kimata, Joseph A. Shaw, Christopher R. Valenta
Antal sider15
ForlagSPIE - International Society for Optical Engineering
Publikationsdato8 nov. 2020
ISBN (Trykt)9781510638617
ISBN (Elektronisk)9781510638624
StatusUdgivet - 8 nov. 2020
BegivenhedSPIE Future Sensing Technologies - Online, Japan
Varighed: 9 nov. 202013 nov. 2020


KonferenceSPIE Future Sensing Technologies
NavnProceedings of SPIE, the International Society for Optical Engineering


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