Specialist tool for monitoring the measurement degradation process of induction active energy meters

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dc.contributor.authorSilva, M. R. [UNESP]
dc.contributor.authorGalotto, L. [UNESP]
dc.contributor.authorPinto, J. O P
dc.contributor.authorCanesin, C. A. [UNESP]
dc.contributor.authorCardoso, E. H.
dc.contributor.authorAmorim, S.
dc.contributor.authorMertens, E. A.
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.date.accessioned2014-05-27T11:26:14Z
dc.date.available2014-05-27T11:26:14Z
dc.date.issued2011-12-01
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.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.format.extent541-546
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.doi10.1109/EPQU.2011.6128831
dc.identifier.issn2150-6647
dc.identifier.issn2150-6655
dc.identifier.lattes6427185658143370
dc.identifier.scopus2-s2.0-84857715444
dc.identifier.urihttp://hdl.handle.net/11449/72844
dc.language.isoeng
dc.relation.ispartofProceeding of the International Conference on Electrical Power Quality and Utilisation, EPQU
dc.rights.accessRightsAcesso aberto
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.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes6427185658143370
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt
unesp.departmentEngenharia Elétrica - FEISpt

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Ilha Solteira - FEIS - Faculdade de Engenharia