Application of neural networks to identify features of dynamical grounding systems

Página do item simplificado
dc.contributor.authorde Souza, A. N.
dc.contributor.authorda Silva, I. N.
dc.contributor.authorUlson, Jose Alfredo Covolan [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:13Z
dc.date.available2014-05-20T13:27:13Z
dc.date.issued2001-01-01
dc.description.abstractThe 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 input parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.en
dc.description.affiliationUniv São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationUnespUniv São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil
dc.format.extent2093-2097
dc.identifierhttp://dx.doi.org/10.1109/IJCNN.2001.938489
dc.identifier.citationIjcnn'01: International Joint Conference on Neural Networks, Vols 1-4, Proceedings. New York: IEEE, p. 2093-2097, 2001.
dc.identifier.doi10.1109/IJCNN.2001.938489
dc.identifier.issn1098-7576
dc.identifier.lattes8212775960494686
dc.identifier.lattes4517057121462258
dc.identifier.urihttp://hdl.handle.net/11449/8898
dc.identifier.wosWOS:000172784800372
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIjcnn'01: International Joint Conference on Neural Networks, Vols 1-4, Proceedings
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleApplication of neural networks to identify features of dynamical grounding systemsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE
unesp.author.lattes8212775960494686[1]
unesp.author.lattes4517057121462258
unesp.author.lattes0000-0002-8617-5404[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

Arquivos

Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções

Artigos - Engenharia Elétrica - FEB