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Online quantitative partial discharge monitor based on interferometry

Interferometry-based online partial discharge (PD) monitor presented in this paper can detect the occurrence of PD sensitively, evaluate the peak value of the discharge inception voltage with random waveform and the damage extent relatively cost effectively. The interferograms affected by the PD are...

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Autores principales: Xue, Liang, Zhu, Yueyue, Yang, Chuankai, Kumarawadu, Sisil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643130/
https://www.ncbi.nlm.nih.gov/pubmed/33149270
http://dx.doi.org/10.1038/s41598-020-76134-x
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author Xue, Liang
Zhu, Yueyue
Yang, Chuankai
Kumarawadu, Sisil
author_facet Xue, Liang
Zhu, Yueyue
Yang, Chuankai
Kumarawadu, Sisil
author_sort Xue, Liang
collection PubMed
description Interferometry-based online partial discharge (PD) monitor presented in this paper can detect the occurrence of PD sensitively, evaluate the peak value of the discharge inception voltage with random waveform and the damage extent relatively cost effectively. The interferograms affected by the PD are collected online. By extracting the phase information of the interference fringes quantitatively, the peak value of the discharge inception voltage with random waveform can be retrieved real-time. Merits of the proposed method as an online quantitative PD monitor are validated via theoretical analysis as well as experimentations by the use of an artificially localized PD source. Furthermore, the proposed method can capture the light signal emitted by the discharge. Quite in contrast to many commonly used sensor-based methods, our approach avoids the need of amplifying the light signal strength making its practical implantation much convenient. The proposed method promises strong potential for field application.
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spelling pubmed-76431302020-11-06 Online quantitative partial discharge monitor based on interferometry Xue, Liang Zhu, Yueyue Yang, Chuankai Kumarawadu, Sisil Sci Rep Article Interferometry-based online partial discharge (PD) monitor presented in this paper can detect the occurrence of PD sensitively, evaluate the peak value of the discharge inception voltage with random waveform and the damage extent relatively cost effectively. The interferograms affected by the PD are collected online. By extracting the phase information of the interference fringes quantitatively, the peak value of the discharge inception voltage with random waveform can be retrieved real-time. Merits of the proposed method as an online quantitative PD monitor are validated via theoretical analysis as well as experimentations by the use of an artificially localized PD source. Furthermore, the proposed method can capture the light signal emitted by the discharge. Quite in contrast to many commonly used sensor-based methods, our approach avoids the need of amplifying the light signal strength making its practical implantation much convenient. The proposed method promises strong potential for field application. Nature Publishing Group UK 2020-11-04 /pmc/articles/PMC7643130/ /pubmed/33149270 http://dx.doi.org/10.1038/s41598-020-76134-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xue, Liang
Zhu, Yueyue
Yang, Chuankai
Kumarawadu, Sisil
Online quantitative partial discharge monitor based on interferometry
title Online quantitative partial discharge monitor based on interferometry
title_full Online quantitative partial discharge monitor based on interferometry
title_fullStr Online quantitative partial discharge monitor based on interferometry
title_full_unstemmed Online quantitative partial discharge monitor based on interferometry
title_short Online quantitative partial discharge monitor based on interferometry
title_sort online quantitative partial discharge monitor based on interferometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643130/
https://www.ncbi.nlm.nih.gov/pubmed/33149270
http://dx.doi.org/10.1038/s41598-020-76134-x
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