Piwei Chen

Data-Driven Prediction of Friction Hysteresis Loops Using Temporal Deep Learning Models

A public high-frequency experimental dataset covering diverse operating conditions is adopted and the proposed framework provides an effective data-driven approach for friction hysteresis prediction and offers potential support for nonlinear modeling and digital twin applications.