This paper proposes a segmentation method to analyze thermographic images of large solar fields with the aim to identify the borders of photovoltaic modules. This kind of analysis allows to correctly attribute possible faults, revealed by thermography, to a well specified solar panel. Moreover, the knowledge of the specific model of solar panel allows to bring the analysis to the single solar cell. This latter feature can help to eliminate some false positive that the mere observation of hot spots might produce.
Automatic edge identification for accurate analysis of thermographic images of solar panels / Guerriero, P.; Daliento, S.. - (2017), pp. 768-772. (Intervento presentato al convegno 6th International Conference on Clean Electrical Power, ICCEP 2017 tenutosi a ita nel 2017) [10.1109/ICCEP.2017.8004778].
Automatic edge identification for accurate analysis of thermographic images of solar panels
Guerriero, P.
;Daliento, S.
2017
Abstract
This paper proposes a segmentation method to analyze thermographic images of large solar fields with the aim to identify the borders of photovoltaic modules. This kind of analysis allows to correctly attribute possible faults, revealed by thermography, to a well specified solar panel. Moreover, the knowledge of the specific model of solar panel allows to bring the analysis to the single solar cell. This latter feature can help to eliminate some false positive that the mere observation of hot spots might produce.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
