A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images

Photovoltaic (PV) cells are a major part of solar power stations, and the inevitable faults of a cell affect its work efficiency and the safety of the power station. During manufacturing and service, it is necessary to carry out fault detection and classification. A convolutional-neural-network (CNN...

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Bibliographic Details
Main Authors:	Bu, C. (Author), Liu, T. (Author), Sfarra, S. (Author), Wang, T. (Author), Zhang, H. (Author)
Format:	Article
Language:	English
Published:	MDPI 2023
Subjects:	Architecture-based automatic fault classification Automatic fault classification Cell/B.E Cells Classification (of information) Classification methods CNN Convolutional neural network Convolutional neural networks Cytology deep learning Deep learning Fault classification Fault detection Image classification Network architecture Neural network architecture Photoelectrochemical cells Photovoltaic cell fault PV cell faults Solar energy Solar power generation thermography Thermography
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images

Internet

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