Classification and Early Detection of Solar Panel Faults with Deep Neural Network Using Aerial and Electroluminescence Images
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11668-024-01959-x.pdf
Reference17 articles.
1. S. Fadhel, C. Delpha, D. Diallo, I. Bahri, A. Migan, M. Trabelsi, M.F. Mimouni, PV shading fault detection and classification based on I-V curve using principal component analysis: application to isolated PV system. Sol. Energy. 179, 1–10 (2019). https://doi.org/10.1016/j.solener.2018.12.048
2. S. Jaybhaye, O. Thakur, R. Yardi et al., Solar panel damage detection and localization of thermal images. J Fail. Anal. Prev. 23, 1980–1990 (2023). https://doi.org/10.1007/s11668-023-01747-z
3. M. Althea, D. Bagul, and A.A. Ezzat, Defect detection in solar photovoltaic systems using unmanned aerial vehicles and machine learning. 8th North America Conference on Industrial Engineering and Operations Management (2023). https://doi.org/10.46254/NA8.20230375
4. R.O. Serfa Juan and J. Kim, Photovoltaic cell defect detection model based-on extracted electroluminescence images using SVM classifier. 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Fukuoka, Japan (2020), p. 578–582. https://doi.org/10.1109/ICAIIC48513.2020.9065065
5. U. Hijjawi, S. Lakshminarayana, Xu. Tianhua, G.P.M. Fierro, M. Rahman, A review of automated solar photovoltaic defect detection systems: approaches, challenges, and future orientations. Sol. Energy. 266, 112186 (2023). https://doi.org/10.1016/j.solener.2023.112186
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