Good quality images are necessary for electroluminescence (EL) image analysis and failure quantification in solar panels. In this work, a method for determining image quality in terms of more accurate failure detection in PV panels through EL imaging is proposed. The goal of the paper is to highlight the different methods for image quality improvement and to determine if the enhanced image provides more useful diagnostic information for accurate micro cracks and fracture detection. From the work carried out in this paper, it is to be noted that averaging technique helps in improving the SNR value. Additionally, subtracting the background from the obtained averaged EL image proves to be an enhancing method for cell fracture identification and more number of edges are also detected which can be useful for micro crack quantification.
|Conference||7th World Conference on Photovoltaic Energy Conversion |
|Location||Hilton Waikoloa Village Resort|
|Period||10/06/2018 → 15/06/2018|
- Signal to noise ratio
- Image quality
- Image enhancement
- Benchmark testing
- Image edge detection
Parikh, H. R., Spataru, S., Sera, D., Mantel, C., Forchhammer, S., dos Reis Benatto, G. A., ... Poulsen, P. B.
(2018). Enhancement of Electroluminescence images for fault detection in photovoltaic panels
. In Proceedings of 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion
(pp. 0447-0452). IEEE. https://doi.org/10.1109/PVSC.2018.8547442