CNN-based Model for Cell Extraction from PV Modules with EL Images for PV Defects Detection
Xiaochen Hu(Zhejiang University), Wenjun Yan(Zhejiang University), Wuqin Tang(Guizhou University), Sijiang Chen(China Railway Construction Corporation (China)), Jianghai Bi(China Railway Construction Corporation (China))
Cited by 2
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
Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images
|Expert Systems with Applications|2022|40
Edge Intelligence for Smart EL Images Defects Detection of PV Plants in the IoT-Based Inspection System
|IEEE Internet of Things Journal|2022|31