Fast fault diagnosis in power transformers using optimum-path forest
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/INES.2012.6249832 http://hdl.handle.net/11449/73612 |
Resumo: | In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost. © 2012 IEEE. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Fast fault diagnosis in power transformers using optimum-path forestComputational costsDissolved gas analysisOptimum-path forestsRecognition ratesSupervised pattern recognitionForestryPattern recognitionPower transformersExperimentationPattern RecognitionPower FactorTransformersIn this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost. © 2012 IEEE.Department of Electrical Engineering Universidade Estadual Paulista (UNESP), Bauru, São PauloDepartment of Electrical Engineering USP - University of São Paulo, Bauru, São PauloDepartment of Electrical Engineering Universidade Estadual Paulista (UNESP), Bauru, São PauloUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Souza, A. N. [UNESP]Ramos, C. C OGastaldello, D. S. [UNESP]Nakamura, R. Y M [UNESP]Papa, J. P. [UNESP]2014-05-27T11:27:04Z2014-05-27T11:27:04Z2012-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject209-212http://dx.doi.org/10.1109/INES.2012.6249832INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 209-212.http://hdl.handle.net/11449/7361210.1109/INES.2012.62498322-s2.0-848666465288212775960494686Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedingsinfo:eu-repo/semantics/openAccess2024-06-28T13:34:42Zoai:repositorio.unesp.br:11449/73612Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:47:35.049687Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fast fault diagnosis in power transformers using optimum-path forest |
title |
Fast fault diagnosis in power transformers using optimum-path forest |
spellingShingle |
Fast fault diagnosis in power transformers using optimum-path forest Souza, A. N. [UNESP] Computational costs Dissolved gas analysis Optimum-path forests Recognition rates Supervised pattern recognition Forestry Pattern recognition Power transformers Experimentation Pattern Recognition Power Factor Transformers |
title_short |
Fast fault diagnosis in power transformers using optimum-path forest |
title_full |
Fast fault diagnosis in power transformers using optimum-path forest |
title_fullStr |
Fast fault diagnosis in power transformers using optimum-path forest |
title_full_unstemmed |
Fast fault diagnosis in power transformers using optimum-path forest |
title_sort |
Fast fault diagnosis in power transformers using optimum-path forest |
author |
Souza, A. N. [UNESP] |
author_facet |
Souza, A. N. [UNESP] Ramos, C. C O Gastaldello, D. S. [UNESP] Nakamura, R. Y M [UNESP] Papa, J. P. [UNESP] |
author_role |
author |
author2 |
Ramos, C. C O Gastaldello, D. S. [UNESP] Nakamura, R. Y M [UNESP] Papa, J. P. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Souza, A. N. [UNESP] Ramos, C. C O Gastaldello, D. S. [UNESP] Nakamura, R. Y M [UNESP] Papa, J. P. [UNESP] |
dc.subject.por.fl_str_mv |
Computational costs Dissolved gas analysis Optimum-path forests Recognition rates Supervised pattern recognition Forestry Pattern recognition Power transformers Experimentation Pattern Recognition Power Factor Transformers |
topic |
Computational costs Dissolved gas analysis Optimum-path forests Recognition rates Supervised pattern recognition Forestry Pattern recognition Power transformers Experimentation Pattern Recognition Power Factor Transformers |
description |
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost. © 2012 IEEE. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-10-01 2014-05-27T11:27:04Z 2014-05-27T11:27:04Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/INES.2012.6249832 INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 209-212. http://hdl.handle.net/11449/73612 10.1109/INES.2012.6249832 2-s2.0-84866646528 8212775960494686 |
url |
http://dx.doi.org/10.1109/INES.2012.6249832 http://hdl.handle.net/11449/73612 |
identifier_str_mv |
INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 209-212. 10.1109/INES.2012.6249832 2-s2.0-84866646528 8212775960494686 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
209-212 |
dc.source.none.fl_str_mv |
Scopus 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_ |
1808129119078055936 |