A Prior-Aware Spatio-Temporal Graph Neural Network for Fault Diagnosis of Mechanical Equipment With Multisensor Data
Fully leveraging spatio-temporal correlations in multisensor data is crucial for achieving accurate fault diagnosis of mechanical equipment. Although spatio-temporal graphs (STGs) have demonstrated potential in modeling such correlations, existing methods still suffer from limitations, such as a single-perspective feat...