Guang-Wei Zhou

Dynamic Event Knowledge Graph–Based Fault Diagnosis for Multisensor Electromechanical Systems of Aviation Equipment and Its Application

An event knowledge graph is leveraged for UAV sensor fault diagnosis: the graph’s architecture inherently structures the array of distinct sensors, and causal logic derived from event progression boosts the graph nodes’ ability to extract meaningful features, and a relationship-focused attention mechanism captures spatial–temporal patterns within sensor data.