Keywords
Defects in photovoltaic solar panels
Electroluminescence Imaging
Machine Learning
Supervised learning. Aprendizaje de máquina
Aprendizaje supervisado
Clasificador
Defectos en paneles solares fotovoltaicos
Imágenes de Electroluminiscencia
How to Cite
Abstract
This document outlines the advancements achieved in the development and implementation of an interface for automated defect detection in photovoltaic solar panels. The project, conducted at the Electricity, Electronics, and Telecommunications Center, aims to enhance the defect verification process of solar panels undergoing the Electroluminescence (EL) test at the Solar Panel Testing Laboratory (LEPS). The text covers fundamental concepts and aspects of Machine Learning (ML), highlights key defects identifiable in EL images of solar panels, provides a high-level description of the proposed design solution, and presents significant validation results obtained from training and testing datasets.
References
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