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Sequential spindle current-based tool condition monitoring with support vector classifier for milling process

  • Published:2017-04-22 Issue:9-12 Volume:92 Page:3319-3328
  • ISSN:0268-3768
  • Container-title:The International Journal of Advanced Manufacturing Technology
  • language:en
  • Short-container-title:Int J Adv Manuf Technol

Author:

Lin XiankunORCID,Zhou Bo,Zhu Lin

Funder

National Natural Science Foundation of China

"High-end Numerical Control Machine and Basic Manufacturing Equipment" Key Sic-tech Special Project

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

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1. Research progress on intelligent monitoring of tool condition based on deep learning;The International Journal of Advanced Manufacturing Technology;2024-08-20

2. A Novel End-to-End Ensemble UNet Network Based on Edge Computing for Tool Wear Detection;Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning;2024-03-22

3. ACWGAN-GP for milling tool breakage monitoring with imbalanced data;Robotics and Computer-Integrated Manufacturing;2024-02

4. Integrated metrology for advanced manufacturing;CIRP Annals;2024

5. Multiresolution analysis for tool failure detection in CFRP/Ti6Al4V hybrid stacks drilling in aircraft assembly lines;Mechanical Systems and Signal Processing;2024-01
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