He-Yan Li

A self-adaptive PINN for hidden-state degradation feature learning and remaining useful life prediction of wet friction components

Wet friction components serve as critical elements in clutch systems for powertrain and torque regulation, and their remaining useful life (RUL) prediction is of great significance for ensuring the reliable operation of transmission systems. Traditional data-driven methods fall short in fully characterizing the under...