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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72844
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dc.contributor.authorSilva, M. R.-
dc.contributor.authorGalotto, L.-
dc.contributor.authorPinto, J. O P-
dc.contributor.authorCanesin, C. A.-
dc.contributor.authorCardoso, E. H.-
dc.contributor.authorAmorim, S.-
dc.contributor.authorMertens, E. A.-
dc.date.accessioned2014-05-27T11:26:14Z-
dc.date.accessioned2016-10-25T18:35:50Z-
dc.date.available2014-05-27T11:26:14Z-
dc.date.available2016-10-25T18:35:50Z-
dc.date.issued2011-12-01-
dc.identifierhttp://dx.doi.org/10.1109/EPQU.2011.6128831-
dc.identifier.citationProceeding of the International Conference on Electrical Power Quality and Utilisation, EPQU, p. 541-546.-
dc.identifier.issn2150-6647-
dc.identifier.issn2150-6655-
dc.identifier.urihttp://hdl.handle.net/11449/72844-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/72844-
dc.description.abstractThis paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software. The modeling developed to calculate the watt-hour meters probability of failure was implemented in a tool through a user friendly platform, written in Delphi language. Among the main features of this tool are: analysis of probability of failure by risk range; geographical localization of the meters in the metering park, and automatic sampling of induction type watt-hour meters, based on a risk classification expert system, in order to obtain information to aid the management of these meters. The main goals of the specialist tool are following and managing the measurement degradation, maintenance and replacement processes for induction watt-hour meters. © 2011 IEEE.en
dc.format.extent541-546-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectArtificial intelligence-
dc.subjectExpert system for sampling-
dc.subjectHazard rate-
dc.subjectInduction type Watt-hour meters-
dc.subjectRisk Model-
dc.subjectActive energy-
dc.subjectAutomatic sampling-
dc.subjectDegradation process-
dc.subjectDelphi language-
dc.subjectDistribution companies-
dc.subjectFailure Probability-
dc.subjectProbability of failure-
dc.subjectRisk classification-
dc.subjectUser-friendly platforms-
dc.subjectDegradation-
dc.subjectElectricity-
dc.subjectExpert systems-
dc.subjectInformation management-
dc.subjectInstruments-
dc.subjectRisk assessment-
dc.subjectMeasurements-
dc.titleSpecialist tool for monitoring the measurement degradation process of induction active energy metersen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)-
dc.contributor.institutionElektro Electricity and Services Co.-
dc.contributor.institutionTecnométrica-
dc.description.affiliationSão Paulo State University - UNESP-
dc.description.affiliationFederal University of Mato Grosso Do Sul - UFMS-
dc.description.affiliationElektro Electricity and Services Co., Campinas (SP)-
dc.description.affiliationTecnométrica, Campinas (SP)-
dc.description.affiliationUnespSão Paulo State University - UNESP-
dc.identifier.doi10.1109/EPQU.2011.6128831-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceeding of the International Conference on Electrical Power Quality and Utilisation, EPQU-
dc.identifier.scopus2-s2.0-84857715444-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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