A Deep Learning-Based Framework for Automatic Detection of Defective Solar Photovoltaic Cells in Electroluminescence Images Using Transfer Learning

Abraham Kaligambe, Goro Fujita

研究成果: Conference contribution

抄録

The utilization of electroluminescence (EL) imaging has proven to be a reliable and precise method for inspecting photovoltaic (PV) modules, due to its high spatial resolution, which allows for the detection of various types of defects. However, the manual analysis of EL images is both expensive, and time-consuming, and requires a specialist with extensive knowledge to identify a wide range of defects. In this study, we propose a deep learning-based technique for the automatic detection of defective solar cells from EL images. Specifically, we employed two convolutional neural network (CNN) architectures in our proposed framework. The first architecture is a transfer learning-based VGG16 model that has been fine-tuned with custom fully connected neural network layers to classify defective and non-defective solar cells. The second architecture is a lightweight CNN model that was created from scratch and was used as a baseline for classification comparison with the VGG16 fine-tuned model. The models were trained on a publicly available monocrystalline solar cell image dataset. To address overfitting and to increase the dataset size, we utilized data augmentation techniques. Our proposed method achieved a 95.2% accuracy on the test dataset, which is higher than in previous studies. The implementation of our proposed method will enable continuous, rapid, and precise quality inspection of solar PV plants. Proper maintenance of solar PV panels can significantly improve their efficiency, safety, and power output.

本文言語English
ホスト出版物のタイトルProceedings of 2023 4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ページ81-85
ページ数5
ISBN(電子版)9798350318678
DOI
出版ステータスPublished - 2023
イベント4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023 - Denpasar Bali, Indonesia
継続期間: 2023 8月 62023 8月 10

出版物シリーズ

名前Proceedings of 2023 4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023

Conference

Conference4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023
国/地域Indonesia
CityDenpasar Bali
Period23/8/623/8/10

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 安全性、リスク、信頼性、品質管理

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