The advance of digital twin for predictive maintenance: The role and function of machine learning-Reference-Cited by-同舟云学术

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The advance of digital twin for predictive maintenance: The role and function of machine learning

Published:2023-12 Issue: Volume:71 Page:581-594
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Chen Chong,Fu Huibin,Zheng Yu,Tao Fei,Liu Ying

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference125 articles.

1. M. Grieves, Digital twin: manufacturing excellence through virtual factory replication, White paper, 1, 2014. pp. 1–7.

2. Digital twin modeling;Tao;J Manuf Syst,2022

3. Digital twin in industry: state-of-the-art;Tao;IEEE Trans Ind Inform,2019

4. Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems;Grieves,2017

5. Digital twin for maintenance: a literature review;Errandonea;Comput Ind,2020

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