Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7–13 μm wavelength) from a DJI Matrice 100 1drone (quadcopter). Addition...

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Bibliographic Details
Published in:Data in brief 2019-10, Vol.26, p.104441-104441, Article 104441
Main Authors: Alfaro-Mejía, Estefanía, Loaiza-Correa, Humberto, Franco-Mejía, Edinson, Restrepo-Girón, Andrés David, Nope-Rodríguez, Sandra Esperanza
Format: Article
Language:English
Subjects:
Computer Science
Hot spot defects
Monocrystalline Si panels
Photovoltaic array inspection
Snail trails
Thermographic images analysis
Unmanned aerial vehicles
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Summary:This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7–13 μm wavelength) from a DJI Matrice 100 1drone (quadcopter). Additionally, our dataset includes the next environmental measurements: temperature, wind speed, and irradiance. The experimental set up consisted in a photovoltaic array of 4 serial monocrystalline Si panels (string) and an electronic equipment emulating a real load. The conditions for images acquisition were stablished in a flight protocol in which we defined altitude, attitude, and weather conditions.
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2019.104441