Fast fault diagnosis in power transformers using optimum-path forest

Detalhes bibliográficos
Autor(a) principal: Souza, A. N. [UNESP]
Data de Publicação: 2012
Outros Autores: Ramos, C. C O, Gastaldello, D. S. [UNESP], Nakamura, R. Y M [UNESP], Papa, J. P. [UNESP]
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.
id UNSP_9bafdf36ed1f5042d500b06878e4a623
oai_identifier_str oai:repositorio.unesp.br:11449/73612
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 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

Registros relacionados