The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

The LRTDN consists of a residual network with dual classifiers, an annotation check module, and adaptation trajectories. Together, these components enhance fault diagnosis by correcting incorrect ...