Application of neural network to identify features of dynamical grounding systems

Detalhes bibliográficos
Autor(a) principal: Nunes De Souza, A. [UNESP]
Data de Publicação: 2001
Outros Autores: Nunes Da Silva, I. [UNESP], Covolan Ulson, J. A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/224200
Resumo: The accurate identification of features of dynamical grounding systems are extremely important to define the operational safety and proper functioning of electric power systems. Several experimental tests and theoretical investigations have been carried out to obtain characteristics and parameters associated with the technique of grounding. The grounding system involves a lot of non-linear parameters. This paper describes a novel approach for mapping characteristics of dynamical grounding systems using artificial neural networks. The network acts as identifier of structural features of the grounding processes. So that output parameters can be estimated and generalized from an parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.
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spelling Application of neural network to identify features of dynamical grounding systemsThe accurate identification of features of dynamical grounding systems are extremely important to define the operational safety and proper functioning of electric power systems. Several experimental tests and theoretical investigations have been carried out to obtain characteristics and parameters associated with the technique of grounding. The grounding system involves a lot of non-linear parameters. This paper describes a novel approach for mapping characteristics of dynamical grounding systems using artificial neural networks. The network acts as identifier of structural features of the grounding processes. So that output parameters can be estimated and generalized from an parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.University of São Paulo-UNESP Department of Electrical Engineering, CP 473, CEP 17033-360, Bauru-SPUniversity of São Paulo-UNESP Department of Electrical Engineering, CP 473, CEP 17033-360, Bauru-SPUniversidade Estadual Paulista (UNESP)Nunes De Souza, A. [UNESP]Nunes Da Silva, I. [UNESP]Covolan Ulson, J. A. [UNESP]2022-04-28T19:55:07Z2022-04-28T19:55:07Z2001-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject2093-2097Proceedings of the International Joint Conference on Neural Networks, v. 3, p. 2093-2097.http://hdl.handle.net/11449/2242002-s2.0-0034870008Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Joint Conference on Neural Networksinfo:eu-repo/semantics/openAccess2024-06-28T13:34:43Zoai:repositorio.unesp.br:11449/224200Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:54:35.108972Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Application of neural network to identify features of dynamical grounding systems
title Application of neural network to identify features of dynamical grounding systems
spellingShingle Application of neural network to identify features of dynamical grounding systems
Nunes De Souza, A. [UNESP]
title_short Application of neural network to identify features of dynamical grounding systems
title_full Application of neural network to identify features of dynamical grounding systems
title_fullStr Application of neural network to identify features of dynamical grounding systems
title_full_unstemmed Application of neural network to identify features of dynamical grounding systems
title_sort Application of neural network to identify features of dynamical grounding systems
author Nunes De Souza, A. [UNESP]
author_facet Nunes De Souza, A. [UNESP]
Nunes Da Silva, I. [UNESP]
Covolan Ulson, J. A. [UNESP]
author_role author
author2 Nunes Da Silva, I. [UNESP]
Covolan Ulson, J. A. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Nunes De Souza, A. [UNESP]
Nunes Da Silva, I. [UNESP]
Covolan Ulson, J. A. [UNESP]
description The accurate identification of features of dynamical grounding systems are extremely important to define the operational safety and proper functioning of electric power systems. Several experimental tests and theoretical investigations have been carried out to obtain characteristics and parameters associated with the technique of grounding. The grounding system involves a lot of non-linear parameters. This paper describes a novel approach for mapping characteristics of dynamical grounding systems using artificial neural networks. The network acts as identifier of structural features of the grounding processes. So that output parameters can be estimated and generalized from an parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.
publishDate 2001
dc.date.none.fl_str_mv 2001-01-01
2022-04-28T19:55:07Z
2022-04-28T19:55:07Z
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 Proceedings of the International Joint Conference on Neural Networks, v. 3, p. 2093-2097.
http://hdl.handle.net/11449/224200
2-s2.0-0034870008
identifier_str_mv Proceedings of the International Joint Conference on Neural Networks, v. 3, p. 2093-2097.
2-s2.0-0034870008
url http://hdl.handle.net/11449/224200
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the International Joint Conference on Neural Networks
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2093-2097
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_ 1808129472463896576

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