Deep Learning for Automatic Defect Detection in PV Modules Using Electroluminescence Images

Deep Learning for Automatic Defect Detection in PV Modules Using Electroluminescence Images

Solar energy, in the form of photovoltaic (PV) panels, is important for achieving clean energy solutions. The photovoltaic health index must be monitored and improved because of the high demand for green energy. Unfortunately, defective solar cells are a significant source of performance degradation...

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Bibliographic Details
Main Authors: Fatma Mazen Ali Mazen, Rania Ahmed Abul Seoud, Yomna O. Shaker
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
ELDDS1400C5 dataset
electroluminescence images
photovoltaic panels
test time augmentation
YOLOv5
YOLOv8
Online Access:https://ieeexplore.ieee.org/document/10146258/

Internet

https://ieeexplore.ieee.org/document/10146258/

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