PV fault detection method based on deep learning of aerial images

Conceived an internationa research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for fault classification. An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) architecture U-Net for image segmentation and then applies the CNN architecture InceptionV3-Net for fault classification. "The presence of dust, snow, bird droppings, and other physical and ...

Den vollständigen Artikel lesen ...