Research on Tool Wear State Recognition Method Based on Multi-Scale Feature Extraction and Deep Residual Network Fusion
By: Erliang Liu, Cong Liu, Yuhang Du, Baiwei Zhu and Limin Shi
Authors
Erliang Liu
School of Mechanical Engineering and Railway Transit, Changzhou University, Changzhou, China
Cong Liu
School of Mechanical Engineering and Railway Transit, Changzhou University, Changzhou, China
Yuhang Du
School of Mechanical Engineering and Railway Transit, Changzhou University, Changzhou, China
Baiwei Zhu
School of Mechanical Engineering and Railway Transit, Changzhou University, Changzhou, China
Limin Shi
Mechano-Electronic and Automotive Engineering College, Tianshui Normal University, Tianshui, China
DOI: https://doi.org/10.2478/msr-2026-0003 | Journal eISSN: 1335-8871
Language: English
Page range: 14 - 23
Submitted on: May 19, 2025
Accepted on: Nov 12, 2025
Published on: Jan 5, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Related subjects:
© 2026 Erliang Liu, Cong Liu, Yuhang Du, Baiwei Zhu, Limin Shi, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.