A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/s18041021 http://hdl.handle.net/11449/164328 |
Resumo: | Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals. |
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A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Techniquepartial discharges (PDs)inductive sensorschromatic techniquecondition monitoringelectrical insulation conditionPartial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals.Chilean Research Council (CONICYT)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Ministry of Higher Education (MOHE), MalaysiaUniversiti Teknologi Malaysia (UTM)Univ Tecn Federico Santa Maria, Dept Elect Engn, Ave Vicuna Mackenna 3939, Santiago 8940000, ChileUniv Tecn Federico Santa Maria, Dept Elect Engn, Ave Espana 1680, Valparaiso 2340000, ChileSao Paulo State Univ, Dept Elect Engn, Ave Engn Luiz Edmundo Carrijo Coube 14-01, BR-17033360 Bauru, BrazilRobert Gordon Univ, Sch Engn, Garthdee Rd, Aberdeen AB10 7GJ, ScotlandUniv Teknol Malaysia, UTM Razak Sch Engn & Adv Technol, Kuala Lumpur 54100, MalaysiaSao Paulo State Univ, Dept Elect Engn, Ave Engn Luiz Edmundo Carrijo Coube 14-01, BR-17033360 Bauru, BrazilChilean Research Council (CONICYT): 11160115Universiti Teknologi Malaysia (UTM): R.K130000.7740.4J315MdpiUniv Tecn Federico Santa MariaUniversidade Estadual Paulista (Unesp)Robert Gordon UnivUniv Teknol MalaysiaAlfredo Ardila-Rey, JorgeMontana, JohnyCastro, Bruno Albuquerque de [UNESP]Schurch, RogerCovolan Ulson, Jose Alfredo [UNESP]Muhammad-Sukki, FirdausBani, Nurul Aini2018-11-26T17:52:09Z2018-11-26T17:52:09Z2018-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://dx.doi.org/10.3390/s18041021Sensors. Basel: Mdpi, v. 18, n. 4, 17 p., 2018.1424-8220http://hdl.handle.net/11449/16432810.3390/s18041021WOS:000435574800093WOS000435574800093.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensors0,584info:eu-repo/semantics/openAccess2024-06-28T13:34:14Zoai:repositorio.unesp.br:11449/164328Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:11:31.266715Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
title |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
spellingShingle |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique Alfredo Ardila-Rey, Jorge partial discharges (PDs) inductive sensors chromatic technique condition monitoring electrical insulation condition |
title_short |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
title_full |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
title_fullStr |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
title_full_unstemmed |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
title_sort |
A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique |
author |
Alfredo Ardila-Rey, Jorge |
author_facet |
Alfredo Ardila-Rey, Jorge Montana, Johny Castro, Bruno Albuquerque de [UNESP] Schurch, Roger Covolan Ulson, Jose Alfredo [UNESP] Muhammad-Sukki, Firdaus Bani, Nurul Aini |
author_role |
author |
author2 |
Montana, Johny Castro, Bruno Albuquerque de [UNESP] Schurch, Roger Covolan Ulson, Jose Alfredo [UNESP] Muhammad-Sukki, Firdaus Bani, Nurul Aini |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Univ Tecn Federico Santa Maria Universidade Estadual Paulista (Unesp) Robert Gordon Univ Univ Teknol Malaysia |
dc.contributor.author.fl_str_mv |
Alfredo Ardila-Rey, Jorge Montana, Johny Castro, Bruno Albuquerque de [UNESP] Schurch, Roger Covolan Ulson, Jose Alfredo [UNESP] Muhammad-Sukki, Firdaus Bani, Nurul Aini |
dc.subject.por.fl_str_mv |
partial discharges (PDs) inductive sensors chromatic technique condition monitoring electrical insulation condition |
topic |
partial discharges (PDs) inductive sensors chromatic technique condition monitoring electrical insulation condition |
description |
Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-26T17:52:09Z 2018-11-26T17:52:09Z 2018-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/s18041021 Sensors. Basel: Mdpi, v. 18, n. 4, 17 p., 2018. 1424-8220 http://hdl.handle.net/11449/164328 10.3390/s18041021 WOS:000435574800093 WOS000435574800093.pdf |
url |
http://dx.doi.org/10.3390/s18041021 http://hdl.handle.net/11449/164328 |
identifier_str_mv |
Sensors. Basel: Mdpi, v. 18, n. 4, 17 p., 2018. 1424-8220 10.3390/s18041021 WOS:000435574800093 WOS000435574800093.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sensors 0,584 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
17 application/pdf |
dc.publisher.none.fl_str_mv |
Mdpi |
publisher.none.fl_str_mv |
Mdpi |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128906891362304 |