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A Weight-Selection Strategy on Training Deep Neural Networks for Imbalanced Classification Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Real Time Fault Detection in Photovoltaic Cells by Cameras on Drones

Authors : Alessandro Arenella, Antonio Greco, Alessia Saggese, Mario Vento

Published in: Image Analysis and Recognition

Publisher: Springer International Publishing

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Abstract

Hot spots are among the defects of photovoltaic panels which may cause the most destructive effects. In this paper we propose a method able to automatically detect the hot spots in photovoltaic panels by analyzing the sequence of thermal images acquired by a camera mounted on board of a drone flighting over the plant. The main novelty of the proposed approach lies in the fact that color based information, typically adopted in the literature, are combined with model based one, so as to strongly reduce the number of detected false positive. The experimentation, both in terms of accuracy and processing time, confirms the effectiveness and the efficiency of the proposed approach.

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Footnotes
Literature
1.
Aghaei, M., Grimaccia, F., Gonano, C.A., Leva, S.: Innovative automated control system for PV fields inspection and remote control. IEEE Trans. Ind. Electron. 62(11), 7287–7296 (2015)CrossRef
2.
Buerhop, C., Schlegel, D., Niess, M., Vodermayer, C., Weißmann, R., Brabec, C.: Reliability of IR-imaging of PV-plants under operating conditions. Solar Energy Mater. Solar Cells 107, 154–164 (2012)CrossRef
3.
Buerhop-Lutz, C., Scheuerpflug, H.: Inspecting PV-plants using aerial, drone-mounted infrared thermography system. In: 3rd Southern African Solar Energy Conference, South Africa, 11–13 May 2015 (2015)
4.
Denio, H.: Aerial solar thermography and condition monitoring of photovoltaic systems. In: Photovoltaic Specialists Conference (PVSC), pp. 613–618. IEEE (2012)
5.
Dotenco, S., Dalsass, M., Winkler, L., Brabec, C., Maier, A., Gallwitz, F., et al.: Automatic detection and analysis of photovoltaic modules in aerial infrared imagery. In: 2016 IEEE International Conference on WACV, pp. 1–9 (2016)
6.
Everingham, M., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal Visual Object Classes (VOC) challenge. Int. J. Comput. VIs. 88(2), 303–338 (2010)CrossRef
7.
Grimaccia, F., Aghaei, M., Mussetta, M., Leva, S., Quater, P.B.: Planning for PV plant performance monitoring by means of Unmanned Aerial Systems (UAS). Int. J. Energy Environ. Eng. 6(1), 47–54 (2015)CrossRef
8.
Jensen, A.M., McKee, M., Chen, Y.: Calibrating thermal imagery from an unmanned aerial system-AggieAir. In: 2013 IEEE IGARSS, pp. 542–545 (2013)
9.
Kaplani, E.: Detection of degradation effects in field-aged c-Si solar cells through IR thermography and digital image processing. Int. J. Photoenergy 2012, 11 p. (2012). Article no. 396792. doi:10.​1155/​2012/​396792
10.
Manganiello, P., Balato, M., Vitelli, M.: A survey on mismatching and aging of PV modules: the closed loop. IEEE Trans. Ind. Electron. 62(11), 7276–7286 (2015)CrossRef
11.
Nguyen, D.D., Lehman, B.: Modeling and simulation of solar PV arrays under changing illumination conditions. In: 2006 IEEE Workshops on Computers in Power Electronics, pp. 295–299. IEEE (2006)
12.
Quater, P.B., Grimaccia, F., Leva, S., Mussetta, M., Aghaei, M.: Light Unmanned Aerial Vehicles (UAVs) for cooperative inspection of PV plants. IEEE J. Photovoltaics 4(4), 1107–1113 (2014)CrossRef
13.
Tsanakas, J., Botsaris, P.: On the detection of hot spots in operating photovoltaic arrays through thermal image analysis and a simulation model. Mater. Eval. 71(4), 457–465 (2013)
14.
Tyutyundzsshiev, N., Martínez Moreno, F., Leloux, J., Narvarte Fernández, L.: Equipment and procedures for ON-SITE testing of PV plants and BIPV. IES (2014)
Metadata
Title
Real Time Fault Detection in Photovoltaic Cells by Cameras on Drones
Authors
Alessandro Arenella
Antonio Greco
Alessia Saggese
Mario Vento
Copyright Year
2017
Book
Image Analysis and Recognition

Print ISBN: 978-3-319-59875-8

Electronic ISBN: 978-3-319-59876-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59876-5_68

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