pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
Nature

Dense skip-attention for convolutional networks

The attention mechanism plays a crucial role in enhancing model performance by guiding the model to focus on important features. However, existing attention mechanism methods primarily concentrate on ...
Nature

MVB fault diagnosis based on time-frequency analysis and convolutional neural networks

With the continuous advancement of modern railway and industrial automation systems, the multifunction vehicle bus (MVB) network has become a critical communication infrastructure. The MVB network ...