Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning-Reference-Cited by-同舟云学术

Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning

Published:2021-10 Issue: Volume:61 Page:495-508
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Yan Boling,Zhu Lida,Dun Yichao

Funder

Fundamental Research Funds for the Central Universities

Liaoning Revitalization Talents Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

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