Statistical analysis of transformer diagnosis methods by oil analysis.
Resumen:
Due to the expensive replacement cost of power transformers, accurate methods to determine the condition and state of these machines have been developed and improved. The goal of these methods is, by means of the preventive maintenance, to avoid inopportune exits of service. These failures have directly costs associated the to the damage, but also costs associated to the problems caused by the energy lack of the clients. In competitive markets, the importance of knowing the real condition of the transformers is growing every day.
2002 | |
Predictive maintenance Power transformers Oil test insulation diagnosis |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/30309 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
_version_ | 1807522899008946176 |
---|---|
author | Benarducci, Ana |
author2 | Arabadjián, Haig Mondino, Martín Slomovitz, Daniel |
author2_role | author author author |
author_facet | Benarducci, Ana Arabadjián, Haig Mondino, Martín Slomovitz, Daniel |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Benarducci Ana, UTE Laboratorio Arabadjián Haig, UTE Laboratorio Mondino Martín, UTE Laboratorio Slomovitz Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería. |
dc.creator.none.fl_str_mv | Benarducci, Ana Arabadjián, Haig Mondino, Martín Slomovitz, Daniel |
dc.date.accessioned.none.fl_str_mv | 2021-12-07T13:26:09Z |
dc.date.available.none.fl_str_mv | 2021-12-07T13:26:09Z |
dc.date.issued.none.fl_str_mv | 2002 |
dc.description.abstract.none.fl_txt_mv | Due to the expensive replacement cost of power transformers, accurate methods to determine the condition and state of these machines have been developed and improved. The goal of these methods is, by means of the preventive maintenance, to avoid inopportune exits of service. These failures have directly costs associated the to the damage, but also costs associated to the problems caused by the energy lack of the clients. In competitive markets, the importance of knowing the real condition of the transformers is growing every day. |
dc.format.extent.es.fl_str_mv | 5 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | Benarducci, A., Arabadjián, H., Mondino, M. y otros. Statistical analysis of transformer diagnosis methods by oil analysis [en línea]. EN: Congreso Internacional de Distribución Eléctrica, CIDEL, Buenos Aires, Argentina, 2002, 5 p. |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/30309 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | CIDEL |
dc.relation.ispartof.es.fl_str_mv | Congreso Internacional de Distribución Eléctrica, CIDEL, Buenos Aires, Argentina, 2002, pp. 1-5. |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.en.fl_str_mv | Predictive maintenance Power transformers Oil test |
dc.subject.es.fl_str_mv | insulation diagnosis |
dc.title.none.fl_str_mv | Statistical analysis of transformer diagnosis methods by oil analysis. |
dc.type.es.fl_str_mv | Ponencia |
dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | Due to the expensive replacement cost of power transformers, accurate methods to determine the condition and state of these machines have been developed and improved. The goal of these methods is, by means of the preventive maintenance, to avoid inopportune exits of service. These failures have directly costs associated the to the damage, but also costs associated to the problems caused by the energy lack of the clients. In competitive markets, the importance of knowing the real condition of the transformers is growing every day. |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_ff5b832aa24db764c4d02e46bd8fd059 |
identifier_str_mv | Benarducci, A., Arabadjián, H., Mondino, M. y otros. Statistical analysis of transformer diagnosis methods by oil analysis [en línea]. EN: Congreso Internacional de Distribución Eléctrica, CIDEL, Buenos Aires, Argentina, 2002, 5 p. |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/30309 |
publishDate | 2002 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | Benarducci Ana, UTE LaboratorioArabadjián Haig, UTE LaboratorioMondino Martín, UTE LaboratorioSlomovitz Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería.2021-12-07T13:26:09Z2021-12-07T13:26:09Z2002Benarducci, A., Arabadjián, H., Mondino, M. y otros. Statistical analysis of transformer diagnosis methods by oil analysis [en línea]. EN: Congreso Internacional de Distribución Eléctrica, CIDEL, Buenos Aires, Argentina, 2002, 5 p.https://hdl.handle.net/20.500.12008/30309Due to the expensive replacement cost of power transformers, accurate methods to determine the condition and state of these machines have been developed and improved. The goal of these methods is, by means of the preventive maintenance, to avoid inopportune exits of service. These failures have directly costs associated the to the damage, but also costs associated to the problems caused by the energy lack of the clients. In competitive markets, the importance of knowing the real condition of the transformers is growing every day.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-12-04T00:08:43Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMS02.pdf: 210919 bytes, checksum: 3f3e93fa63fcd786e01cbffea0deff55 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-12-06T19:46:18Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMS02.pdf: 210919 bytes, checksum: 3f3e93fa63fcd786e01cbffea0deff55 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2021-12-07T13:26:09Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMS02.pdf: 210919 bytes, checksum: 3f3e93fa63fcd786e01cbffea0deff55 (MD5) Previous issue date: 20025 p.application/pdfenengCIDELCongreso Internacional de Distribución Eléctrica, CIDEL, Buenos Aires, Argentina, 2002, pp. 1-5.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
spellingShingle | Statistical analysis of transformer diagnosis methods by oil analysis. Benarducci, Ana Predictive maintenance Power transformers Oil test insulation diagnosis |
status_str | publishedVersion |
title | Statistical analysis of transformer diagnosis methods by oil analysis. |
title_full | Statistical analysis of transformer diagnosis methods by oil analysis. |
title_fullStr | Statistical analysis of transformer diagnosis methods by oil analysis. |
title_full_unstemmed | Statistical analysis of transformer diagnosis methods by oil analysis. |
title_short | Statistical analysis of transformer diagnosis methods by oil analysis. |
title_sort | Statistical analysis of transformer diagnosis methods by oil analysis. |
topic | Predictive maintenance Power transformers Oil test insulation diagnosis |
url | https://hdl.handle.net/20.500.12008/30309 |