Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants-Reference-Cited by-同舟云学术

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Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants

Published:2024-04-15 Issue:8 Volume:11 Page:13231-13246
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tabella Gianluca¹^ORCID,Ciuonzo Domenico²^ORCID,Paltrinieri Nicola³^ORCID,Rossi Pierluigi Salvo¹^ORCID

Affiliation:

1. Department of Gas Technology, SINTEF Energy Research, Trondheim, Norway

2. Department of Electrical Engineering and Information Technologies, University of Naples “Federico II,”, Naples, Italy

3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10495736/10416232.pdf?arnumber=10416232

Reference50 articles.

1. Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario

2. Current Trends on Green Wireless Sensor Networks

3. The Internet of Things: An overview;Rose;The Internet Soc.,2015

4. Collaborative Sensing in Internet of Things: A Comprehensive Survey

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1. Efficient Solution Resilient to Noise and Anchor Position Error for Joint Localization and Synchronization Using One-Way Sequential TOAs;Applied Sciences;2024-07-11

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