Fault Diagnosis Method for Photovoltaic Panels Based on Improved ShuffleNet V2 and Infrared Images-Reference-Cited by-同舟云学术

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Fault Diagnosis Method for Photovoltaic Panels Based on Improved ShuffleNet V2 and Infrared Images

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Power and Renewable Energy (ICPRE)
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Author:

Chen Hui¹,Zhang Ao¹,Gong Chunyang²,Liang Weibin³,Wang Zhixin⁴

Affiliation:

1. Shanghai University of Electric Power,College of Automation Engineering,Shanghai,China

2. Shanghai University of Electric Power,College of Electrical Engineering,Shanghai,China

3. Shanghai Enflame Technology Co., Ltd.,Shanghai,China

4. Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9960143/9960291/09960396.pdf?arnumber=9960396

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A feature space class balancing strategy-based fault classification method in solar photovoltaic modules;Engineering Applications of Artificial Intelligence;2024-10

2. SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models;Journal of Real-Time Image Processing;2024-05-29

3. Photovoltaic Panel Fault Detection and Diagnosis Based on a Targeted Transformer-Style Model;IEEE Transactions on Industry Applications;2024-01

4. Fault Diagnosis for PV Modules Based on AlexNet and Symmetrized Dot Pattern;Energies;2023-11-14

5. Fault Detection in Solar Energy Systems: A Deep Learning Approach;Electronics;2023-10-24

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