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Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit

  • Published:2022-10 Issue: Volume:77 Page:102368
  • ISSN:0736-5845
  • Container-title:Robotics and Computer-Integrated Manufacturing
  • language:en
  • Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Li Wangyang,Fu Hongya,Han Zhenyu,Zhang Xing,Jin HongyuORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference56 articles.

1. Physics-informed meta learning for machining tool wear prediction;Li;J. Manuf. Syst.,2022

2. A review of machine vision sensors for tool condition monitoring;Kurada;Comput. Ind.,1997

3. Digitalisation and servitisation of machine tools in the era of industry 4.0: a review;Liu;Int. J. Prod. Res.,2021

4. Toward intelligent machine tool;Chen;Engineering,2019

5. A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool;Yang;Robot. Comput.-Integr. Manuf.,2022

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