Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase

Detalhes bibliográficos
Autor(a) principal: de Souza, A. N.
Data de Publicação: 2002
Outros Autores: da Silva, I. N., de Souza, CFLN, Zago, M. G.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IJCNN.2002.1007691
http://hdl.handle.net/11449/37992
Resumo: The paper describes a novel neural model to estimate electrical losses in transformer during the manufacturing phase. The network acts as an identifier of structural features on electrical loss process, so that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through experimental data taking into account core losses, copper losses, resistance, current and temperature. The results obtained in the simulations have shown that the developed technique can be used as an alternative tool to make the analysis of electrical losses on distribution transformer more appropriate regarding to manufacturing process. Thus, this research has led to an improvement on the rational use of energy.
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spelling Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phaseThe paper describes a novel neural model to estimate electrical losses in transformer during the manufacturing phase. The network acts as an identifier of structural features on electrical loss process, so that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through experimental data taking into account core losses, copper losses, resistance, current and temperature. The results obtained in the simulations have shown that the developed technique can be used as an alternative tool to make the analysis of electrical losses on distribution transformer more appropriate regarding to manufacturing process. Thus, this research has led to an improvement on the rational use of energy.State Univ São Paulo, UNESP, FE, DEE, BR-17033360 Bauru, SP, BrazilState Univ São Paulo, UNESP, FE, DEE, BR-17033360 Bauru, SP, BrazilInstitute of Electrical and Electronics Engineers (IEEE)Universidade Estadual Paulista (Unesp)de Souza, A. N.da Silva, I. N.de Souza, CFLNZago, M. G.2014-05-20T15:28:06Z2014-05-20T15:28:06Z2002-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1346-1350http://dx.doi.org/10.1109/IJCNN.2002.1007691Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3. New York: IEEE, p. 1346-1350, 2002.1098-7576http://hdl.handle.net/11449/3799210.1109/IJCNN.2002.1007691WOS:0001774028002408212775960494686Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3info:eu-repo/semantics/openAccess2021-10-23T21:41:24Zoai:repositorio.unesp.br:11449/37992Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
title Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
spellingShingle Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
de Souza, A. N.
title_short Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
title_full Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
title_fullStr Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
title_full_unstemmed Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
title_sort Using artificial neural networks for identification of electrical losses in transformers during the manufacturing phase
author de Souza, A. N.
author_facet de Souza, A. N.
da Silva, I. N.
de Souza, CFLN
Zago, M. G.
author_role author
author2 da Silva, I. N.
de Souza, CFLN
Zago, M. G.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv de Souza, A. N.
da Silva, I. N.
de Souza, CFLN
Zago, M. G.
description The paper describes a novel neural model to estimate electrical losses in transformer during the manufacturing phase. The network acts as an identifier of structural features on electrical loss process, so that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through experimental data taking into account core losses, copper losses, resistance, current and temperature. The results obtained in the simulations have shown that the developed technique can be used as an alternative tool to make the analysis of electrical losses on distribution transformer more appropriate regarding to manufacturing process. Thus, this research has led to an improvement on the rational use of energy.
publishDate 2002
dc.date.none.fl_str_mv 2002-01-01
2014-05-20T15:28:06Z
2014-05-20T15:28:06Z
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/IJCNN.2002.1007691
Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3. New York: IEEE, p. 1346-1350, 2002.
1098-7576
http://hdl.handle.net/11449/37992
10.1109/IJCNN.2002.1007691
WOS:000177402800240
8212775960494686
url http://dx.doi.org/10.1109/IJCNN.2002.1007691
http://hdl.handle.net/11449/37992
identifier_str_mv Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3. New York: IEEE, p. 1346-1350, 2002.
1098-7576
10.1109/IJCNN.2002.1007691
WOS:000177402800240
8212775960494686
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1346-1350
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
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_ 1799964738394783744

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