CNN-based defect detection and classification of PV cells by infrared thermography method-Reference-Cited by-同舟云学术

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CNN-based defect detection and classification of PV cells by infrared thermography method

Published:2024-05-26 Issue: Volume: Page:1-18
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Bu Chiwu¹,Shen Runhong¹,Bai Weiliang¹,Chen Peng¹,Li Rui¹,Zhou Rui¹,Li Jie²,Tang Qingju³

Affiliation:

1. School of Light Industry, Harbin University of Commerce, Harbin, China

2. School of Energy and Civil Engineering, Harbin University of Commerce, Harbin, China

3. School of Mechanical Engineering, Heilongjiang University of Science and Technology, Harbin, China

Funder

National Natural Science Foundation of China

Heilongjiang Province Natural Science Fund

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2357240

Reference39 articles.

1. Solar Energy—A Practical Alternative to Fossil and Nuclear Fuels

2. Accurate and robust crack detection using steerable evidence filtering in electroluminescence images of solar cells

3. Photovoltaic failure and degradation modes

4. Aerial solar Thermography and condition monitoring of photovoltaic systems

5. Diagnosis of GaAs solar-cell resistance via absolute electroluminescence imaging and distributed circuit modeling

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