Construction of Tool Life Dynamic Prediction Model Based on On-Line Learning
摘要
A tool life dynamic prediction model based on on-line learning is proposed in this paper. The model selects signal features as input data and regards tool wear and residual life as data labels, a tool residual life prediction model based on the improved long-short time memory network can predict the tool residual life dynamically under different working conditions.