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Experimental Results of Partial Discharge Localization in Bounded Domains

This work presents a novel diagnostic method to localize Partial Discharges (PDs) inside Medium Voltage (MV) and High Voltage (HV) equipment. The method is well suited for that equipment presenting a bounded domain with fixed Boundary Conditions (BCs) such as Oil-Filled Power Transformers (OFPTs), A...

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Detalles Bibliográficos
Autores principales: Perfetto, Luca, D’Antona, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866867/
https://www.ncbi.nlm.nih.gov/pubmed/33573303
http://dx.doi.org/10.3390/s21030935
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author Perfetto, Luca
D’Antona, Gabriele
author_facet Perfetto, Luca
D’Antona, Gabriele
author_sort Perfetto, Luca
collection PubMed
description This work presents a novel diagnostic method to localize Partial Discharges (PDs) inside Medium Voltage (MV) and High Voltage (HV) equipment. The method is well suited for that equipment presenting a bounded domain with fixed Boundary Conditions (BCs) such as Oil-Filled Power Transformers (OFPTs), Air Insulated Switchgears (AISs), Gas Insulated Switchgears (GISs) or Gas Insulated Transmission Lines (GILs). It is based on Electromagnetic (EM) measurements which are used to reconstruct the EM field produced by the PD and localize the PD itself. The reconstruction and localization tasks are based on the eigenfunctions series expansion method which intrinsically accounts for the physical information of the propagation phenomenon. This fact makes the proposed diagnostic method very robust and accurate even in real and complex scenarios. The promising experimental results, obtained in two different test cases, confirmed the ability and powerfulness of the proposed PD localization method.
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spelling pubmed-78668672021-02-07 Experimental Results of Partial Discharge Localization in Bounded Domains Perfetto, Luca D’Antona, Gabriele Sensors (Basel) Article This work presents a novel diagnostic method to localize Partial Discharges (PDs) inside Medium Voltage (MV) and High Voltage (HV) equipment. The method is well suited for that equipment presenting a bounded domain with fixed Boundary Conditions (BCs) such as Oil-Filled Power Transformers (OFPTs), Air Insulated Switchgears (AISs), Gas Insulated Switchgears (GISs) or Gas Insulated Transmission Lines (GILs). It is based on Electromagnetic (EM) measurements which are used to reconstruct the EM field produced by the PD and localize the PD itself. The reconstruction and localization tasks are based on the eigenfunctions series expansion method which intrinsically accounts for the physical information of the propagation phenomenon. This fact makes the proposed diagnostic method very robust and accurate even in real and complex scenarios. The promising experimental results, obtained in two different test cases, confirmed the ability and powerfulness of the proposed PD localization method. MDPI 2021-01-30 /pmc/articles/PMC7866867/ /pubmed/33573303 http://dx.doi.org/10.3390/s21030935 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Perfetto, Luca
D’Antona, Gabriele
Experimental Results of Partial Discharge Localization in Bounded Domains
title Experimental Results of Partial Discharge Localization in Bounded Domains
title_full Experimental Results of Partial Discharge Localization in Bounded Domains
title_fullStr Experimental Results of Partial Discharge Localization in Bounded Domains
title_full_unstemmed Experimental Results of Partial Discharge Localization in Bounded Domains
title_short Experimental Results of Partial Discharge Localization in Bounded Domains
title_sort experimental results of partial discharge localization in bounded domains
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866867/
https://www.ncbi.nlm.nih.gov/pubmed/33573303
http://dx.doi.org/10.3390/s21030935
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