Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images
Wuqin Tang(Guizhou University), Wenjun Yan(Zhejiang University), Qiang Yang(Heilongjiang University of Chinese Medicine), Xiaochen Hu(Zhejiang University)
Cited by 40
Related Papers
Deep learning based automatic defect identification of photovoltaic module using electroluminescence images
|Solar Energy|2020|287
Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives
|Energy|2024|82
Deep learning-based linear defects detection system for large-scale photovoltaic plants based on an edge-cloud computing infrastructure
|Solar Energy|2021|47
Edge Intelligence for Smart EL Images Defects Detection of PV Plants in the IoT-Based Inspection System
|IEEE Internet of Things Journal|2022|31
Deep Learning-Based Algorithm for Multi-Type Defects Detection in Solar Cells with Aerial EL Images for Photovoltaic Plants
|Computer Modeling in Engineering & Sciences|2021|23