A Comparison of Inductive Sensors in the Characterization of Partial Discharges and Electrical Noise Using the Chromatic Technique

Detalhes bibliográficos
Autor(a) principal: Alfredo Ardila-Rey, Jorge
Data de Publicação: 2018
Outros Autores: Montana, Johny, Castro, Bruno Albuquerque de [UNESP], Schurch, Roger, Covolan Ulson, Jose Alfredo [UNESP], Muhammad-Sukki, Firdaus, Bani, Nurul Aini
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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spelling 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/openAccess2023-11-20T06:10:22Zoai:repositorio.unesp.br:11449/164328Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-20T06:10:22Repositório 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
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