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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-10-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919307966 |
| _version_ | 1819068902112493568 |
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| author | Estefanía Alfaro-Mejía Humberto Loaiza-Correa Edinson Franco-Mejía Andrés David Restrepo-Girón Sandra Esperanza Nope-Rodríguez |
| author_facet | Estefanía Alfaro-Mejía Humberto Loaiza-Correa Edinson Franco-Mejía Andrés David Restrepo-Girón Sandra Esperanza Nope-Rodríguez |
| author_sort | Estefanía Alfaro-Mejía |
| collection | DOAJ |
| description | 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. Keywords: Photovoltaic array inspection, Monocrystalline Si panels, Snail trails, Hot spot defects, Thermographic images analysis, Unmanned aerial vehicles |
| first_indexed | 2024-12-21T16:41:31Z |
| format | Article |
| id | doaj.art-c0f96dc98ce14edab26ee94e059c816b |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-21T16:41:31Z |
| publishDate | 2019-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-c0f96dc98ce14edab26ee94e059c816b2022-12-21T18:57:05ZengElsevierData in Brief2352-34092019-10-0126Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panelsEstefanía Alfaro-Mejía0Humberto Loaiza-Correa1Edinson Franco-Mejía2Andrés David Restrepo-Girón3Sandra Esperanza Nope-Rodríguez4Corresponding author.; Escuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, ColombiaCorresponding author.; Escuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, ColombiaEscuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, ColombiaEscuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, ColombiaEscuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, ColombiaThis 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. Keywords: Photovoltaic array inspection, Monocrystalline Si panels, Snail trails, Hot spot defects, Thermographic images analysis, Unmanned aerial vehicleshttp://www.sciencedirect.com/science/article/pii/S2352340919307966 |
| spellingShingle | Estefanía Alfaro-Mejía Humberto Loaiza-Correa Edinson Franco-Mejía Andrés David Restrepo-Girón Sandra Esperanza Nope-Rodríguez Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels Data in Brief |
| title | Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels |
| title_full | Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels |
| title_fullStr | Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels |
| title_full_unstemmed | Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels |
| title_short | Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels |
| title_sort | dataset for recognition of snail trails and hot spot failures in monocrystalline si solar panels |
| url | http://www.sciencedirect.com/science/article/pii/S2352340919307966 |
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