A Digital Twin Based Framework for Real-Time Machine Condition Monitoring-Reference-Cited by-同舟云学术

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A Digital Twin Based Framework for Real-Time Machine Condition Monitoring

Published:2023-08-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
language:
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Author:

Chen Zixiao¹,Choudhury Madhurjya Dev²,Blincoe Kelly³,Dhupia Jaspreet Singh¹

Affiliation:

1. University of Auckland,Department of Mechanical and Mechatronics Engineering,New Zealand

2. School of Engineering and Computer Science, Victoria University of Wellington,New Zealand

3. University of Auckland,Department of Electrical, Computer, and Software Engineering,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260377.pdf?arnumber=10260377

Reference28 articles.

1. Enabling technologies and tools for digital twin

2. Digital Twin-Driven Machine Condition Monitoring: A Literature Review

3. Digital twins-based smart manufacturing system design in Industry 4.0: A review

4. Digital Twin and Its Application in Power System

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