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Fast object detection of anomaly photovoltaic (PV) cells using …
This work builds a PV EL Anomaly Detection dataset for polycrystalline solar cell, which contains 36 543 near-infrared images with various internal defects and …
Fast object detection of anomaly photovoltaic (PV) cells using …
Anomaly detection in photovoltaic (PV) cells is crucial for ensuring the efficient operation of solar power systems and preventing potential energy losses. In this paper, we …
Convolutional Neural Network based Efficient Detector for ...
The experimental results show that the improved YOLO v5 algorithm achieves 89.64% mAP for the model trained on the solar cell EL image dataset, which is 7.85% higher …
Deep-Learning-Based Automatic Detection of Photovoltaic Cell …
Photovoltaic (PV) cell defect detection has become a prominent problem in the development of the PV industry; however, the entire industry lacks effective technical means. …
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Cell …
Abstract: The multiscale defect detection for photovoltaic (PV) cell electroluminescence (EL) images is a challenging task, due to the feature vanishing as network deepens. To address …
An efficient CNN-based detector for photovoltaic module cells …
Electroluminescence (EL) imaging provides a high spatial resolution for inspecting photovoltaic (PV) cells, enabling the detection of various types of PV cell defects. …
A PV cell defect detector combined with transformer and …
Photovoltaic (PV) solar cells are primary devices that convert solar energy into electrical energy. However, unavoidable defects can significantly reduce the modules'' …
A photovoltaic cell defect detection model capable of topological ...
We propose a photovoltaic cell defect detection model capable of extracting topological knowledge, aggregating local multi-order dynamic contexts, and effectively...
A review of automated solar photovoltaic defect detection …
Different statistical outcomes have affirmed the significance of Photovoltaic (PV) systems and grid-connected PV plants worldwide. Surprisingly, the global cumulative installed …
A photovoltaic cell defect detection model capable of …
We propose a photovoltaic cell defect detection model capable of extracting topological knowledge, aggregating local multi-order dynamic contexts, and effectively...
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic …
Abstract: The multiscale defect detection for photovoltaic (PV) cell electroluminescence (EL) images is a challenging task, due to the feature vanishing as network deepens. To address …
ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model …
The photovoltaic technology industry is a key development field in response to global renewable energy demands. The efficiency of fault detection in solar cells, a core component, is vital. …
A PV cell defect detector combined with transformer and attention ...
Automated defect detection in electroluminescence (EL) images of photovoltaic (PV) modules on production lines remains a significant challenge, crucial for replacing labor …
CNN based automatic detection of photovoltaic cell defects in ...
DOI: 10.1016/j.energy.2019.116319 Corpus ID: 208834892; CNN based automatic detection of photovoltaic cell defects in electroluminescence images @article{Akram2019CNNBA, …
Photovoltaic Cell Defect Detection Based on Weakly Supervised …
In this study, we propose a weakly supervised learning method to build a CNN for cell-level defect detection in a cost-efficient manner. Our method uses a training dataset solely with module …
ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model …
To address these problems, this study proposes the ESD-YOLOv8 model, which is optimised for infrared solar cell images captured by UAVs and is able to efficiently identify microdefect …
Convolutional Neural Network based Efficient Detector for ...
One of the challenges in the field of photovoltaics (PV) is the automation of defect detection in electroluminescent (EL) images of PV cells. This is due to the similarities between …
ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based …
To address these problems, this study proposes the ESD-YOLOv8 model, which is optimised for infrared solar cell images captured by UAVs and is able to efficiently identify microdefect …
C2DEM-YOLO: improved YOLOv8 for defect detection of photovoltaic cell …
DOI: 10.1080/10589759.2024.2319263 Corpus ID: 268177279; C2DEM-YOLO: improved YOLOv8 for defect detection of photovoltaic cell modules in electroluminescence image …
An efficient CNN-based detector for photovoltaic module cells …
Photovoltaic (PV) power generation, as a clean energy technology with the advantages of high economic feasibility, long service life and silent operation, has received …
An improved hybrid solar cell defect detection approach using ...
Imaging techniques combined with state-of-the-art deep learning algorithms enable efficient, accurate and automatic defect detection in PV cells. However, there are still …
Deep-Learning-Based Automatic Detection of …
The numerical experimental results show that the proposed deep-learning-based defect detection method for PV cells can automatically perform efficient and accurate defect detection using EL images.
A PV cell defect detector combined with transformer and …
Automated defect detection in electroluminescence (EL) images of photovoltaic (PV) modules on production lines remains a significant challenge, crucial for replacing labor …
Deep-Learning-Based Automatic Detection of Photovoltaic Cell …
The numerical experimental results show that the proposed deep-learning-based defect detection method for PV cells can automatically perform efficient and accurate …
Photovoltaic system fault detection techniques: a review
Solar energy has received great interest in recent years, for electric power generation. Furthermore, photovoltaic (PV) systems have been widely spread over the world …