Application of neural network to identify features of dynamical grounding systems

dc.contributor.authorNunes De Souza, A. [UNESP]
dc.contributor.authorNunes Da Silva, I. [UNESP]
dc.contributor.authorCovolan Ulson, J. A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:55:07Z
dc.date.available2022-04-28T19:55:07Z
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 parameter set. The results obtained by the network are compared with other approaches also used to model grounding systems.en
dc.description.affiliationUniversity of São Paulo-UNESP Department of Electrical Engineering, CP 473, CEP 17033-360, Bauru-SP
dc.description.affiliationUnespUniversity of São Paulo-UNESP Department of Electrical Engineering, CP 473, CEP 17033-360, Bauru-SP
dc.format.extent2093-2097
dc.identifier.citationProceedings of the International Joint Conference on Neural Networks, v. 3, p. 2093-2097.
dc.identifier.scopus2-s2.0-0034870008
dc.identifier.urihttp://hdl.handle.net/11449/224200
dc.language.isoeng
dc.relation.ispartofProceedings of the International Joint Conference on Neural Networks
dc.sourceScopus
dc.titleApplication of neural network to identify features of dynamical grounding systemsen
dc.typeTrabalho apresentado em evento

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