Defect detection of solar cells based on deep convolutional generative adversarial networks
Author:
Affiliation:
1. The 716th Research Institute of China State Shipbuilding Corporation Limited,Lianyungang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603543.pdf?arnumber=10603543
Reference11 articles.
1. Detection of physical defects in solar cells by hyperspectral imaging technology
2. Automatic detection of micro-crack in solar wafers and cells: a review
3. Defect Analysis of Crystalline Silicon Solar Cells[J];Gang;Solar Energy
4. Study on the Causes and Improvement Methods of Intermediate Defects in EL Detection of PERC Cells[J];Zhonggao;Journal of Solar Energy,2023
5. Research on detection agorithm of solar cell component defects based on deep neural network
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