Exploring a Modular Architecture for Sensor Validation in Digital Twins-Reference-Cited by-同舟云学术

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Exploring a Modular Architecture for Sensor Validation in Digital Twins

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Sensors
language:
Short-container-title:

Author:

Darvishi Hossein¹,Ciuonzo Domenico²,Rossi Pierluigi Salvo³

Affiliation:

1. Norwegian University of Science and Technology,Dept. Electronic Systems,Trondheim,Norway,7491

2. University of Naples “Federico II,”,Dept. Electrical Engineering & Information Technologies,Naples,Italy,80125

3. SINTEF Energy Research,Dept. Gas Technology,Trondheim,Norway,7034

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9966996/9966997/09967175.pdf?arnumber=9967175

Reference23 articles.

1. Real-time sensor anomaly detection and recovery in connected automated vehicle sensors;wang;IEEE Trans Intell Transp Syst,2020

2. A method of sensor fault detection and identification

3. Fault detection and isolation with robust principal component analysis

4. Fault Detection in Wireless Sensor Networks Through SVM Classifier

5. Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Recurrent Graph Convolutional Architecture for Sensor Fault Detection, Isolation, and Accommodation in Digital Twins;IEEE Sensors Journal;2023-12-01

2. Sensor Data Recovery of Faulty LOX/LH2 Rocket Engine Based on Multistage Graph Convolutional Network;Journal of Spacecraft and Rockets;2023-06-26

3. Wasserstein GAN-Based Digital Twin-Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks;IEEE Sensors Journal;2023-06-15

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