A Machine-Learning Architecture for Sensor Fault Detection, Isolation, and Accommodation in Digital Twins
Author:
Affiliation:
1. Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway
2. Department of Electrical Engineering and Information Technologies (DIETI), University of Naples “Federico II,”, Naples, Italy
Funder
Research Council of Norway through the SIGNIFY Project within the IKTPLUSS Framework
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10032973/09984173.pdf?arnumber=9984173
Reference51 articles.
1. Sensor network data fault types
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5. Interval Observer-Based Detection and Localization Against False Data Injection Attack in Smart Grids
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