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http://cio.repositorioinstitucional.mx/jspui/handle/1002/1338| INSPECTION OF PARABOLIC TROUGH COLLECTORS USING DIGITAL IMAGE PROCESSING | |
| Alan Brian Diaz Reyna | |
| Luis Manuel Valentín Coronado Manuel I. Peña-Cruz | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Artificial Intelligence Parabolic-Trough Collector Region of Interest Convolutional Neural Network Unmanned Aerial Vehicle Deep Learning | |
| "The parabolic-trough collectors are emergent technology that solves thermal energy problems because they take advantage of solar energy, however, those systems are outdoor, making it easy to become dirt. Currently, the inspection of dirt is performed manually. In this work, a system able to detect different dust deposition levels on the receiver tube of the parabolic-trough collector (PTC), using a CNN model, has been proposed. The proposed system has shown a very good performance, achieving an overall accuracy of 0.91 and F1-measure of 0.91 (σ = 0.04), making it a good alternative for dust classification in PTCs." | |
| 15-10-2024 | |
| Tesis de maestría | |
| Inglés | |
| Díaz-Reyna, (2024). "Inspection of parabolic-trough collectors using digital image processing". Tesis de Maestría Interinstitucional en Ciencia y Tecnología. Centro de Investigaciones en Óptica, A.C. León, Guanajuato, México. 45 páginas. | |
| TRANSMISIÓN DE ENERGÍA | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | MAESTRÍA INTERINSTITUCIONAL EN CIENCIA Y TECNOLOGIA (MPICYT) |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| 18527.pdf | Texto completo/ Full-text available | 578.08 kB | Adobe PDF | Visualizar/Abrir |