A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation-Reference-Cited by-同舟云学术

A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation

Published:2023-12 Issue: Volume:5 Page:200048
ISSN:2772-9419
Container-title:Systems and Soft Computing
language:en
Short-container-title:Systems and Soft Computing

Author:

Pratt Lawrence^ORCID,Mattheus Jana^ORCID,Klein Richard^ORCID

Funder

National Research Foundation

Council of Scientific and Industrial Research, India

University of the Witwatersrand, Johannesburg

Publisher

Elsevier BV

Subject

Theoretical Computer Science,Software,Computer Science Applications,Computational Theory and Mathematics

Reference52 articles.

1. Photographic surveying of minority carrier diffusion length in polycrystalline silicon solar cells by electroluminescence;Fuyuki;Appl. Phys. Lett.,2005

2. Outdoor electroluminescence imaging of crystalline photovoltaic modules: comparative study between manual ground-level inspections and drone-based aerial surveys;Koch,2016

3. In-field electroluminescence imaging: methods, comparison with indoor imaging, and observed changes in modules over one year;Hobbs,2018

4. K.G.Bedrich, Y.S. Khoo, Y. Wang, Method, system, and image processing device for capturing and/or processing electroluminescence images, and an aerial vehicle, Patent number WO2021137764, 2021.

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of solar panel technology and photovoltaic cell status applying machine learning to electroluminescence images;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

2. Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives;Energy;2024-06

3. Detection and classification of photovoltaic module defects based on artificial intelligence;Neural Computing and Applications;2024-05-31

4. Optical Filter Design for Daylight Outdoor Electroluminescence Imaging of PV Modules;Photonics;2024-01-07

5. Attention-Based SegNet: Toward Refined Semantic Segmentation of PV Modules Defects;IEEE Access;2024