Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images

Photovoltaic (PV) cell defect detection has become a prominent problem in the development of the PV industry; however, the entire industry lacks effective technical means. In this paper, we propose a deep-learning-based defect detection method for photovoltaic cells, which addresses two technical ch...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Junjie, Bi, Li, Sun, Pengxiang, Jiao, Xiaogang, Ma, Xunde, Lei, Xinyi, Luo, Yongbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823618/
https://www.ncbi.nlm.nih.gov/pubmed/36616894
http://dx.doi.org/10.3390/s23010297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823618/
https://www.ncbi.nlm.nih.gov/pubmed/36616894
http://dx.doi.org/10.3390/s23010297

Ejemplares similares