Tool wear monitoring based on signal feature fusion and deep learning
Published online on February 18, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Volume 240, Issue 9, Page 3063-3081, May 2026.
To improve the accuracy of tool wear monitoring in machining, this paper proposes a method based on multi-sensor signal feature fusion and deep neural networks. The proposed method synchronously acquires multi-sensor signals, from which multi-domain ...
To improve the accuracy of tool wear monitoring in machining, this paper proposes a method based on multi-sensor signal feature fusion and deep neural networks. The proposed method synchronously acquires multi-sensor signals, from which multi-domain ...