Spatiotemporal quench prediction of No-Insulation superconducting coils using a GNN-Informer fusion model
Abstract Quench prediction is essential for the safe operation of no-insulation high-temperature superconducting coils in fusion magnet systems. This study proposes a spatiotemporal quench prediction model that integrates a Graph Neural Network with Informer to fuse multi-sensor spatial correlations and long-term tempo...