Attention-based Convolutional Autoencoder for Anomaly Detection and Risk Assessment in HVDC Cooling Systems
A novel attention-based convolutional autoencoder (ABCD) framework that effectively detects anomalies in cooling liquid conductivity and identifies potential risks in HVDC systems, enabling informed maintenance decisions.