Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing-Reference-Cited by-同舟云学术

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Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing

Published:2022-10 Issue: Volume:77 Page:102357
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Liu Changchun,Zhu Haihua,Tang Dunbing^ORCID,Nie Qingwei,Zhou Tong,Wang Liping,Song Yejia

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Jiangsu Provincial Key Research and Development Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference67 articles.

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

2. Simulation in the design and operation of manufacturing systems: state of the art and new trends;Mourtzis;Int. J. Prod. Res.,2020

3. Big data and stream processing platforms for industry 4.0 requirements mapping for a predictive maintenance use case;Sahal;J. Manuf. Syst.,2020

4. Sustainable service oriented equipment maintenance management of steel enterprises using a two-stage optimization approach;Qin;Robot. Comput. Integr. Manuf.,2022

5. Energy efficiency analysis of machine tools with periodic maintenance;Xu;Int. J. Prod. Res.,2014

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