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A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation
To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise rat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335984/ https://www.ncbi.nlm.nih.gov/pubmed/28134812 http://dx.doi.org/10.3390/s17020247 |
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author | Li, Pengfei Zhou, Wenjun Yang, Shuai Liu, Yushun Tian, Yan Wang, Yong |
author_facet | Li, Pengfei Zhou, Wenjun Yang, Shuai Liu, Yushun Tian, Yan Wang, Yong |
author_sort | Li, Pengfei |
collection | PubMed |
description | To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise ratio was low, and the localization result was a coordinate on two-dimensional plane. In this paper, a novel method is proposed to improve the separation rate and the localization accuracy. A directional measuring platform is built using two directional antennas. The time delay (TD) of the signals captured by the antennas is calculated, and TD sequences are obtained by rotating the platform at different angles. The sequences are separated with the TD distribution feature, and the directions of the multi-PD sources are calculated. The PD sources are located by directions using the error probability method. To verify the method, a simulated model with three PD sources was established by XFdtd. Simulation results show that the separation rate is increased from 71% to 95% compared with the previous method, and an accurate three-dimensional localization result was obtained. A field test with two PD sources was carried out, and the sources were separated and located accurately by the proposed method. |
format | Online Article Text |
id | pubmed-5335984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53359842017-03-16 A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation Li, Pengfei Zhou, Wenjun Yang, Shuai Liu, Yushun Tian, Yan Wang, Yong Sensors (Basel) Article To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise ratio was low, and the localization result was a coordinate on two-dimensional plane. In this paper, a novel method is proposed to improve the separation rate and the localization accuracy. A directional measuring platform is built using two directional antennas. The time delay (TD) of the signals captured by the antennas is calculated, and TD sequences are obtained by rotating the platform at different angles. The sequences are separated with the TD distribution feature, and the directions of the multi-PD sources are calculated. The PD sources are located by directions using the error probability method. To verify the method, a simulated model with three PD sources was established by XFdtd. Simulation results show that the separation rate is increased from 71% to 95% compared with the previous method, and an accurate three-dimensional localization result was obtained. A field test with two PD sources was carried out, and the sources were separated and located accurately by the proposed method. MDPI 2017-01-27 /pmc/articles/PMC5335984/ /pubmed/28134812 http://dx.doi.org/10.3390/s17020247 Text en © 2017 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 Li, Pengfei Zhou, Wenjun Yang, Shuai Liu, Yushun Tian, Yan Wang, Yong A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title | A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title_full | A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title_fullStr | A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title_full_unstemmed | A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title_short | A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation |
title_sort | novel method for separating and locating multiple partial discharge sources in a substation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335984/ https://www.ncbi.nlm.nih.gov/pubmed/28134812 http://dx.doi.org/10.3390/s17020247 |
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