dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.contributor | Elektro-Eletricidade e Serviços S.A. | |
dc.date.accessioned | 2014-05-27T11:25:20Z | |
dc.date.accessioned | 2022-10-05T18:23:53Z | |
dc.date.available | 2014-05-27T11:25:20Z | |
dc.date.available | 2022-10-05T18:23:53Z | |
dc.date.created | 2014-05-27T11:25:20Z | |
dc.date.issued | 2010-12-01 | |
dc.identifier | 2010 9th IEEE/IAS International Conference on Industry Applications, INDUSCON 2010. | |
dc.identifier | http://hdl.handle.net/11449/72046 | |
dc.identifier | 10.1109/INDUSCON.2010.5739925 | |
dc.identifier | 2-s2.0-79956290242 | |
dc.identifier | 6427185658143370 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3921149 | |
dc.description.abstract | This paper presents a methodology and software for hazard rate analysis of induction type watt-hour meters, considering the main variables related with the degradation process of these meters, for the Elektro Electricity and Services SA. The modeling developed to calculate the watt-hour meters hazard rate was implemented in a tool through a user friendly platform, in Delphi language, enabling not only hazard rate analysis, but also a classification by risk range, localization of installation for the analyzed meters, and, allowing, through an expert system, the sampling of induction type watt-hour meters, based on the model risk developed with artificial intelligence, with the mainly goal of follow and manage the process of degradation, maintenance and replacement of these meters. © 2010 IEEE. | |
dc.language | por | |
dc.relation | 2010 9th IEEE/IAS International Conference on Industry Applications, INDUSCON 2010 | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Artificial Intelligence | |
dc.subject | Expert system for sampling | |
dc.subject | Hazard rate | |
dc.subject | Induction type Watt-hour meters | |
dc.subject | Model risk | |
dc.subject | Degradation process | |
dc.subject | Delphi language | |
dc.subject | Hazard rates | |
dc.subject | User-friendly platforms | |
dc.subject | Artificial intelligence | |
dc.subject | Degradation | |
dc.subject | Expert systems | |
dc.subject | Hazards | |
dc.subject | Instruments | |
dc.subject | Watt hour meters | |
dc.title | Sistema especialista para a monitoração do processo de degradação de medidores tipo indução de energia elétrica ativa | |
dc.type | Trabalho apresentado em evento | |