Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing-Reference-Cited by-同舟云学术

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Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing

Published:2020-03 Issue:1 Volume:2 Page:34-36
ISSN:2516-8398
Container-title:IET Collaborative Intelligent Manufacturing
language:en
Short-container-title:IET Collaborative Intelligent Manufacturing

Author:

Lee Jay¹,Azamfar Moslem¹^ORCID,Singh Jaskaran¹,Siahpour Shahin¹^ORCID

Affiliation:

1. NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS)University of CincinnatiCincinnatiOHUSA

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Hardware and Architecture

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cim.2020.0009

Reference8 articles.

1. Recent advances and trends in predictive manufacturing systems in big data environment

2. Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

3. Lee J. Singh J. Azamfar M.: ‘Industrial artificial intelligence’ arXiv Prepr. arXiv 1908.02150 2019

4. An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities

5. A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems

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