Your Location：
Home >
Browse articles >
CdualTAL: multi-domain tool wear prediction using a dual-channel Transformer and cross-attention network
Regular Papers | Updated：2026-02-11

    • CdualTAL: multi-domain tool wear prediction using a dual-channel Transformer and cross-attention network

      Enhanced Publication
    • CdualTAL：基于双通道Transformer和交叉注意力网络的多域刀具磨损预测
    • “In the field of manufacturing efficiency, a new study introduces significant research progress. Experts have developed CdualTAL, an advanced algorithm that enhances tool wear prediction. This innovative system leverages a dual-channel Transformer encoder and a custom cross-attention mechanism to effectively integrate strong and weak features, achieving superior prediction stability and accuracy.”
    • ENGINEERING Information Technology & Electronic Engineering   Vol. 27, Issue 2, Pages: 1-13(2026)

    • DOI：10.1631/ENG.ITEE.2025.0111    

      CLC： TP391.41;TP274

    • Received：01 November 2025，

      Revised：2026-01-31，

      Published：2026-02

    Scan QR Code

  • Na LI, Zhendong LIU, Xiao WANG, et al. CdualTAL: multi-domain tool wear prediction using a dual-channel Transformer and cross-attention network[J]. ENGINEERING Information Technology & Electronic Engineering, 2026, 27(2): 1-13. DOI： 10.1631/ENG.ITEE.2025.0111.

  •  
  •  

0

Views

2

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition

Related Author

Denghui ZHANG
Shishuo REN
Haoran XU
Tongjing SUN
Wenkai Hu
Xuedian Zhang
Songwen Pei
Changxiang He

Related Institution

School of Automation, Hangzhou Dianzi University
Key Laboratory of Communication Information Transmission and Fusion Technology, Hangzhou Dianzi University
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology
College of Science, University of Shanghai for Science and Technology
Shanghai Key Laboratory of Contemporary Optics System
0