Machine Learning Driven Digital Twin for Industrial Control Black Box System: A Novel Framework and Case Study
Author:
Affiliation:
1. Institute of Innovation, Science and Sustainability, Federation University,Churchill,Australia,3842
2. School of Engineering and Physical Sciences, Aston University,Birmingham,United Kingdom,B4 7ET
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275139/10275143/10275310.pdf?arnumber=10275310
Reference29 articles.
1. Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
2. Digital Twin in Industry 4.0: Technologies, Applications and Challenges
3. Digital Twin: Enabling Technologies, Challenges and Open Research
4. Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and Case Study
5. Digital Twin Application for Production Optimization
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1. Development of Adaptive Digital Twin for DC-DC converters using Artificial Neural Networks;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19
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