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Artificial neural networks applied in study of atmospheric parameters to high voltage substations concerning lightning

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dc.contributor.authorde Souza, A. N.
dc.contributor.authorda Silva, I. N.
dc.contributor.authorBordon, M. E.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:12Z
dc.date.available2014-05-20T13:27:12Z
dc.date.issued2000-01-01
dc.description.abstractThis gaper demonstrates that artificial neural networks can be used effectively for estimation of parameters related to study of atmospheric conditions to high voltage substations design. Specifically, the neural networks are used to compute the variation of electrical field intensity and critical disruptive voltage in substations taking into account several atmospheric factors, such as pressure, temperature, humidity, so on. Examples of simulation of tests are presented to validate the proposed approach. The results that were obtained by experimental evidences and numerical simulations allowed the verification of the influence of the atmospheric conditions on design of substations concerning lightning.en
dc.description.affiliationUniv São Paulo, UNESP, FE, DEE,Sch Engn,Dept Elect Engn, Bauru, SP, Brazil
dc.description.affiliationUnespUniv São Paulo, UNESP, FE, DEE,Sch Engn,Dept Elect Engn, Bauru, SP, Brazil
dc.format.extent185-190
dc.identifierhttp://dx.doi.org/10.1109/IJCNN.2000.859394
dc.identifier.citationIjcnn 2000: Proceedings of the IEEE-inns-enns International Joint Conference on Neural Networks, Vol Vi. Los Alamitos: IEEE Computer Soc, p. 185-190, 2000.
dc.identifier.doi10.1109/IJCNN.2000.859394
dc.identifier.issn1098-7576
dc.identifier.lattes8212775960494686
dc.identifier.lattes5589838844298232
dc.identifier.orcid0000-0001-8510-8245
dc.identifier.wosWOS:000089240600031
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE), Computer Soc
dc.relation.ispartofIjcnn 2000: Proceedings of the IEEE-inns-enns International Joint Conference on Neural Networks, Vol Vi
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleArtificial neural networks applied in study of atmospheric parameters to high voltage substations concerning lightningen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE Computer Soc
dspace.entity.typePublication
unesp.author.lattes8212775960494686[1]
unesp.author.lattes5589838844298232
unesp.author.orcid0000-0002-8617-5404[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
unesp.departmentEngenharia Elétrica - FEBpt

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Bauru - FEB - Faculdade de Engenharia