2018
DOI: 10.1016/j.rser.2018.05.027
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Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants

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Cited by 112 publications
(41 citation statements)
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“…This approach is often used in combination with unmanned aerial vehicles (UAVs) for large PV plants [22]. Aerial IR thermography is known to be a useful diagnostic technique that can assess performance of PV panels with higher accuracy and more quickly, however, is a bit more costly [31]. Yet, it is important to note that reliable and more cost-efficient methods have been proposed using a combination of both thermal imaging and visual cameras [32].…”
Section: Current Approaches and Opportunities For Pv Predictive Maintmentioning
confidence: 99%
“…This approach is often used in combination with unmanned aerial vehicles (UAVs) for large PV plants [22]. Aerial IR thermography is known to be a useful diagnostic technique that can assess performance of PV panels with higher accuracy and more quickly, however, is a bit more costly [31]. Yet, it is important to note that reliable and more cost-efficient methods have been proposed using a combination of both thermal imaging and visual cameras [32].…”
Section: Current Approaches and Opportunities For Pv Predictive Maintmentioning
confidence: 99%
“…The integration of thermal sensors with drones opens up new possibilities for real-time aerial inspection in many fields. The substantial capture capability of the UAV platforms allows their application in thermal inspection of large areas (e.g., vegetation studies and precision agriculture [43][44][45], hydrological [46] or industrial inspections, such as those of photovoltaic farms [47,48]). The study of building envelopes is perhaps where the fusion of IRT and UAV technologies has the greatest potential [49][50][51][52].…”
Section: Aerial Irt Inspectionmentioning
confidence: 99%
“…Aerial thermography with Unmanned Aerial Vehicles (UAV) is considered as a low-cost effective method for online surveillance of PV system performance [96]. The method can be considered as a useful and less time-consuming diagnostic method for PV plant performance compared with conventional fault diagnostic methods.…”
Section: Image Processing In Pv Fault Diagnosticsmentioning
confidence: 99%