Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept
Author:
Affiliation:
1. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, Naples, Italy
2. School of Innovation, Design, and Engineering, Mälardalen University, Västeras, Sweden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10288179/10049521.pdf?arnumber=10049521
Reference42 articles.
1. Digital Twin in Industry: State-of-the-Art
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5. Process Prediction with Digital Twins
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