IEEE

Graph-Based Visualization and Fault Diagnosis in Large-Scale Industrial Sensor Networks Using KNN-Constructed Graph Neural Networks(GNN)-A Approach Synthetic Dataset

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...
IEEE

A Novel Hierarchical Graph Neural Network with Heterogeneous Multi-Sensor Data for Fault Diagnosis of Complex Mechanical Equipment

Abstract: Modern mechanical equipment increasingly relies on multi-sensor data for health monitoring, which generates complex, heterogeneous, non-Euclidean data that conventional methods struggle to ...