12-14 August 2021
Lima, Perú
America/Lima timezone
Share our event through the following link: https://indico.uni.edu.pe/e/Meeting-of-Physics-2021i

Real-time inspection and fault detection for large photovoltaic arrays based on drones and deep learning algorithms

14 Aug 2021, 13:00
Lima, Perú

Lima, Perú

Centro de Investigación de la Facultad de Ciencias Universidad Nacional de Ingeniería
Applied Physics parallels


Mr Runze Yu (KTH Royal Institute of Technology)


In recent years, the installation of renewable energy generation systems based on photovoltaic (PV) panels has experienced massive increments, and PV parks with thousands of panels are now becoming commonplace. Yet, there are some challenges, like inspection and fault detection. Lately, these operations have been approached using drones. This project adds the use of deep learning, more specifically proposes the convolutional neural network (CNN) algorithm, the YOLOv5 model, and RTMP protocol to achieve real-time detection of PV panels failures. The YOLOv5 model was trained by sets sorted into 9 different categories including fault and abnormal objects' coverage. This multiclass classification system was investigated by a variety of evaluation indexes to show effectiveness and accuracy. The system was also examined with its different fault classes. The performance results demonstrate that the mean average precision could reach up to 98% with a good training set, confirming the feasibility of the proposed approaches.

Primary authors

Mr Runze Yu (KTH Royal Institute of Technology) Yuxin Cui (Royal Institute of Technology) Mr Haoming Wang (KTH Royal Institute of Technology, Sweden) Ener Salinas (Hitachi ABB Power Grids)

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