A SAGE-GAT Hybrid Network With Dynamic Node Interaction for Fault Diagnosis of Civil Aircraft Landing Gear System.
This work proposes a novel SAGE-GAT Hybrid Network enhanced with a dynamic node interaction attention (DNIA) mechanism, achieving high accuracy in disambiguating confusing faults while maintaining practical training efficiency, thereby offering a robust and applicable solution for aviation maintenance.