Sep 2026
Physics-informed BiLSTM with attention mechanism for tool wear prediction
The experimental results showed that, compared with the conventional data-driven model, PI-ATBiLSTM reduced the average root mean square error, mean absolute error and mean absolute percentage error by 60.92%, 60.83% and 62.50%, respectively.
Ya-Peng Yang, Jia-Rui Yang, Xing-Zhou Chen et al.
· Proceedings of the Instituti... · 0 citations