A scalable framework for annotating photovoltaic cell defects in electroluminescence images

• Published in: IEEE transactions on industrial informatics Vol. 19; no. 9; pp. 1 - 8
• Main Authors: Otamendi, Urtzi, Martinez, Inigo, Olaizola, Igor G., Quartulli, Marco
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Annotations; Anomalies; anomaly segmentation; benchmark dataset; Costs; Datasets; Decision making; deep learning; defect annotation; Electroluminescence; Golden Standard; Image segmentation; Photovoltaic cells; Pipelines; Training

The correct functioning of photovoltaic (PV) cells is critical to ensuring the optimal performance of a solar plant. Anomaly detection techniques for PV cells can result in significant cost savings in operation and maintenance (O&M). Recent research has focused on deep learning techniques for au...