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. This paper focuses mainly in enhancing the quality of the obtained EL measurements through different image enhancement methods and to determine if the enhanced image proves to be more useful in extracting diagnostic information for accurate micro cracks and fracture detection. Two aspects were diagnosed and analysed during the course of this extended version which was based on the indoor measurements acquired under ambient light conditions and outdoor measurements . The first one was to improve the SNR of the EL image. Secondly, a micro-crack evaluation with number of edge detection algorithm was implemented using Sobel technique. Different test cases were taken into consideration for evaluation of the aforementioned diagnostics. The research gives you an insight of approximate number of repeat images that are essential for achieving an increased SNR value which complies to the IEC TS 60904-13 standards and the corresponding enhanced image used for better PV diagnostics and providing the health status information of the panel.
|Tidsskrift||I E E E Journal of Photovoltaics|
|Status||Under udarbejdelse - 2020|
Parikh, H. R., Spataru, S. V., A. dos Reis Benatto, G., Mantel, C., & Séra, D. (2020). Enhancement analysis of Electroluminescence images for fault detection in photovoltaic panels under ambient light and outdoor condition. Manuskript under forberedelse.