Instant testing and non-contact diagnosis for photovoltaic cells using K-means clustering and associated hyperspectral imaging

Instant testing and non-contact diagnosis for photovoltaic cells using K-means clustering and associated hyperspectral imaging

Abstract Renewable energy, particularly solar energy, has experienced remarkable growth in recent years. However, the integrity of solar photovoltaic (PV) cells can degrade over time, necessitating non-destructive testing and evaluation (NDT-NDE) for quality control during production and in-service...

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Bibliographic Details
Main Authors: Eslam Ali Attia, Alaaeldin Mahmoud, Mostafa Fedawy, Yasser H. El-Sharkawy
Format: Article
Language:English
Published: Springer 2023-07-01
Series:SN Applied Sciences
Subjects:
Photovoltaic cells
Photoluminescence
Non-contact diagnosis
Hyperspectral imaging
K-means clustering
Online Access:https://doi.org/10.1007/s42452-023-05431-7

Internet

https://doi.org/10.1007/s42452-023-05431-7

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