Gengxiang Chen

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Study on developing predicted system model of cutting-edge trajectory for micro-milling process based on tool runout error, chip thickness and force signal

Physics-informed Bayesian inference for milling stability analysis

Deep transfer learning for conditional shift in regression