Kun-Xiang Luo

A method for predicting tool remaining useful life based on a physics-informed neural network

This paper proposes a Physics-Informed Neural Network (PINN)-based method for tool remaining useful life (RUL) prediction by incorporating physical wear evolution laws into a data-driven prediction framework. The method improves prediction accuracy and enhances cross-scenario adaptability through consistency with t...