Browsing by Author "Pinto, Augusto Manuel dos Inocentes Rodrigues"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Solar panels issues and failures identificationPublication . Pinto, Augusto Manuel dos Inocentes Rodrigues; Dias, André Miguel PinheiroRecent push for the use of photovoltaic panels due to the focus on the green transition as created an inspection problem, a problem that cannot be avoided because these inspections are critical to guarantee the maximum efficiency of the photovoltaic panels and their longevity. At the same time, drone technology and machine learning technologies had significant advances, that allowed these areas to work together in order to solve the automatic panel inspection tasks more efficiently than recurring to manual processes of inspection. Detection of hotspots represent a dominant problem over solar plants energy yield, as well as over the possibility of downtime and interruptions on the grid. This project focus on automatic detection of photovoltaic panel specific failures, using thermal images collected by infrared cameras transported on UAV vehicles. It intends to prove the efficiency of the use of artificial neural networks detecting failures on thermographic images recollected by sensors mounted on Unmanned Aerial Vehicles.