Optical Technique, Volume. 51, Issue 3, 264(2025)
Optimization of the imaging system for detecting invisible defects on the silicon photovoltaic modules under high irradiance level
[1] [1] Chen Y H, Liang R, Tian Y, Wang F. A novel fault diagnosis method of PV based on power loss and I-V characteristics[J]. IOP Conf. Series: Earth and Environmental Science,2016,40:012022.
[2] [2] Zhang Zhixiang, Ma Mingyao, Wang Hai, et al. A fault diagnosis method for photovoltaic module current mismatch based on numerical analysis and statistics[J]. Solar Energy,2021,225:221—236.
[3] [3] Hasan Abdulwahab A Q, Alkahtani Ammar Ahmed, Amin Nowshad. Modeling and performance evaluation of solar cells using I-V curve analysis[J]. Lecture Notes in Networks and Systems,2023,584:643—650.
[4] [4] Kaplani E. Detection of degradation effects in field-aged c-Si solar cells through IR thermography and digital image processing [J]. International Journal of Photoenergy,2012:1—11.
[5] [5] Fiala Jozef, Kuracina Marcel, Blinov Lenka, et al. Thermography diagnostics of photovoltaic panels[J]. Advanced Materials Research,2014,1001:388—392.
[6] [6] Brooks Will S M, Lamb Dan A, Irvine Stuart JC. IR reflectance imaging for crystalline si solar cell crack detection[J]. IEEE Journal of Photovoltaics,2015,5(5):1271—1275.
[7] [7] Boubaker Sahbi, Kamel Souad, Ghazouani Nejib, et al. Assessment of machine and deep learning approaches for fault diagnosis in photovoltaic systems using infrared thermography[J]. Remote Sensing,2023,15(1686):1—24.
[8] [8] Terrados C, Gonzlez-Francs D, Alonso V, et al. Comparison of outdoor and indoor pl and el images in si solar cells and panels for defect detection and classification[J]. Journal of Electronic Materials,2023,52(8):5189—5198.
[9] [9] Hijjawi Ula, Lakshminarayana Subhash, Xu Tianhua, et al. A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations[J]. Solar Energy,2023,266(112186):1—17.
[10] [10] Li Xiaoxia, Li Wei, Yang Qiang, et al. An Unmanned inspection system for multiple defects detection in photovoltaic plants[J]. IEEE Journal of Photovoltaics,2020,10(2):568—576.
[11] [11] T Kropp, M Berner, L Stoicescu et al. Self sourced daylight electroluminescence from photovoltaic modules[J]. IEEE J. Photovoltaics,2017,7(5):1184—1189.
[12] [12] Raghavi Bhoopathy, Oliver Kunz, Mattias Juhl, et al. Outdoor photoluminescence imaging of photovoltaic modules with sunlight excitation[J]. Progress in Photovoltaics: Research and Applications,2018,26:69—73.
[13] [13] Bhoopathy Raghavi, Kunz Oliver, Juhl Mattias, et al. Outdoor photoluminescence imaging of solar panels by contactless switching: Technical considerations and applications[J]. Progress in Photovoltaics: Research and Applications,2020,28(3):217—228.
[14] [14] Gisele Alves dos Reis Benatto, Claire Mantel, Sergiu Spataru, et al. Drone-based daylight electroluminescence imaging of PV modules [J]. IEEE Journal of Photovoltaics,2020,10(3):872—877.
Get Citation
Copy Citation Text
NIU Jingkai, ZHAI Shuai, TIAN Xin, WEI Lizhong, WU Wenmin, LIAO Ningfang. Optimization of the imaging system for detecting invisible defects on the silicon photovoltaic modules under high irradiance level[J]. Optical Technique, 2025, 51(3): 264