General methodology of the in-field diagnostic and localization of noise source in G3-PLC network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148147" target="_blank" >RIV/00216305:26220/23:PU148147 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10104173" target="_blank" >https://ieeexplore.ieee.org/document/10104173</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISPLC57122.2023.10104173" target="_blank" >10.1109/ISPLC57122.2023.10104173</a>

Result language
angličtina
Original language name
General methodology of the in-field diagnostic and localization of noise source in G3-PLC network
Original language description
This paper proposes a general methodology on the topic of diagnostic and localization of noise source within the area of one transformer station based on G3–PLC technology in the Cenelec–A band (36–91 kHz). Different noise types and noise sources common for Narrowband-Power Line Communication (NB–PLC) are described together with the character of the measured communication channel - the cable between the junction box and the transformer station. Description of various measurement and analysis approaches is included. Present noise was evaluated by the drop of signal-to-noise ratio (SNR), by the measurement of data loss during the file transfer and by the spectral analysis of the power line with the spectrum analyzer and with the PLC analyzer. This article reveals a significant noise source that prevented the communication of hundreds of smart meters with the data concentrator (DC) located at the transformer station. The authors also propose a set of 4 mitigation solutions for this non-standard situation ordered by the time difficulty of implementation to this PLC network.
Czech name
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Czech description
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Project
<a href="/en/project/VJ02010016" target="_blank" >VJ02010016: Application of Artificial Intelligence for Ensuring Cyber Security for Smart City</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2023 IEEE International Symposium on Power Line Communications and its Applications (ISPLC)
ISBN
978-1-6654-9135-8
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
37-42
Publisher name
PeerJ Inc.
Place of publication
Manchester, United Kingdom
Event location
Manchester
Event date
Mar 21, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000994536900007

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