In this paper, we present a study of daylight EL acquisition and the results of a sunlight variation study in a scenario necessary to assure the increase of EL image quality with denoising by averaging for the robustness of the drone system when bright and intermittently cloudy days occur. It was verified that the indicator of image quality based on the signal-to-noise ratio of EL images has a linear behavior with the amount of averaged images when there is no sun variation. When there are sun irradiance variation, it is observed that the quality decrease even with the increased number of images being averaged, turning to increase again only with further additional images.
|Conference||36th European Photovoltaic Solar Energy Conference and Exhibition|
|Period||09/09/2019 → 13/09/2019|
|Series||36th European Photovoltaic Solar Energy Conference and Exhibition|
- Electroluminescence imaging
- PV inspections
- Fault detection
- Image processing
Benatto, G. A. D. R., Mantel, C., Santamaria Lancia, A. A.
, Villebro, F., Riedel, N., Thorsteinsson, S.
, ... Séra, D. (2019). Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules
. In Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition
(pp. 1651-1655). 36th European Photovoltaic Solar Energy Conference and Exhibition https://doi.org/10.4229/eupvsec20192019-5cv.4.37