Early Bearing Fault Evolution Modeling with a Dynamics-Constrained Graph Neural Network
During the incipient localized-fault stage, impact signatures in ball bearings are weak. Accurate degradation labels are difficult to construct. Purely data-driven models often lack physical consistency. To address these issues, a dynamics-constrained graph neural network (DC-GNN) was developed for early fault evolutio...
Enxu Liu, Zhan Wang, Zhan Wang et al.
· Applied Sciences · 0 citations