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

Graph-Temporal Data-Driven Multi-Sensor Spatio-Temporal Information Fusion Network for Equipment RUL Prediction

Abstract: Due to the compound spatio-temporal correlations in multi-sensor equipment signal data, extant Remaining Useful Life (RUL) prediction strategies commonly emphasize either temporal ...