Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis

Autores
Díaz, G. A.; Romero Quete, Andrés Arturo; Mombello, Enrique Esteban; Furlan, Norma Lucía
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In designing and building of transformers, the core destruction factor is the superposition of all effects that cause a difference between the value of the core losses calculated during the design stage of the unit and the measured value after built. In this paper, two methods for forecasting the core destruction factor are proposed. One based on Mahalanobis distance and the other one based on cluster analysis. A comparison of the results obtained by conventional calculation procedure with respect to those obtained through the proposed methodologies is developed. Finally, the expected cost savings by applying the methods proposed in this article are estimated.
Fil: Díaz, G. A.. Universidad Nacional de San Juan; Argentina
Fil: Romero Quete, Andrés Arturo. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Furlan, Norma Lucía. Universidad Nacional de San Juan; Argentina
Materia
Transformer Losses
Forecasting
Mahalanobis Distance
Clustering
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22741
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Forecasting of the transformer core destruction factor by means of multivariate methods for data analysisDíaz, G. A.Romero Quete, Andrés ArturoMombello, Enrique EstebanFurlan, Norma LucíaTransformer LossesForecastingMahalanobis DistanceClusteringhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In designing and building of transformers, the core destruction factor is the superposition of all effects that cause a difference between the value of the core losses calculated during the design stage of the unit and the measured value after built. In this paper, two methods for forecasting the core destruction factor are proposed. One based on Mahalanobis distance and the other one based on cluster analysis. A comparison of the results obtained by conventional calculation procedure with respect to those obtained through the proposed methodologies is developed. Finally, the expected cost savings by applying the methods proposed in this article are estimated.Fil: Díaz, G. A.. Universidad Nacional de San Juan; ArgentinaFil: Romero Quete, Andrés Arturo. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Furlan, Norma Lucía. Universidad Nacional de San Juan; ArgentinaInstitute of Electrical and Electronics Engineers2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22741Díaz, G. A.; Romero Quete, Andrés Arturo; Mombello, Enrique Esteban; Furlan, Norma Lucía; Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 492-4981548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502851/info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502851info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:53Zoai:ri.conicet.gov.ar:11336/22741instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:33:53.962CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
title Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
spellingShingle Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
Díaz, G. A.
Transformer Losses
Forecasting
Mahalanobis Distance
Clustering
title_short Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
title_full Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
title_fullStr Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
title_full_unstemmed Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
title_sort Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis
dc.creator.none.fl_str_mv Díaz, G. A.
Romero Quete, Andrés Arturo
Mombello, Enrique Esteban
Furlan, Norma Lucía
author Díaz, G. A.
author_facet Díaz, G. A.
Romero Quete, Andrés Arturo
Mombello, Enrique Esteban
Furlan, Norma Lucía
author_role author
author2 Romero Quete, Andrés Arturo
Mombello, Enrique Esteban
Furlan, Norma Lucía
author2_role author
author
author
dc.subject.none.fl_str_mv Transformer Losses
Forecasting
Mahalanobis Distance
Clustering
topic Transformer Losses
Forecasting
Mahalanobis Distance
Clustering
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In designing and building of transformers, the core destruction factor is the superposition of all effects that cause a difference between the value of the core losses calculated during the design stage of the unit and the measured value after built. In this paper, two methods for forecasting the core destruction factor are proposed. One based on Mahalanobis distance and the other one based on cluster analysis. A comparison of the results obtained by conventional calculation procedure with respect to those obtained through the proposed methodologies is developed. Finally, the expected cost savings by applying the methods proposed in this article are estimated.
Fil: Díaz, G. A.. Universidad Nacional de San Juan; Argentina
Fil: Romero Quete, Andrés Arturo. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Furlan, Norma Lucía. Universidad Nacional de San Juan; Argentina
description In designing and building of transformers, the core destruction factor is the superposition of all effects that cause a difference between the value of the core losses calculated during the design stage of the unit and the measured value after built. In this paper, two methods for forecasting the core destruction factor are proposed. One based on Mahalanobis distance and the other one based on cluster analysis. A comparison of the results obtained by conventional calculation procedure with respect to those obtained through the proposed methodologies is developed. Finally, the expected cost savings by applying the methods proposed in this article are estimated.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/22741
Díaz, G. A.; Romero Quete, Andrés Arturo; Mombello, Enrique Esteban; Furlan, Norma Lucía; Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 492-498
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22741
identifier_str_mv Díaz, G. A.; Romero Quete, Andrés Arturo; Mombello, Enrique Esteban; Furlan, Norma Lucía; Forecasting of the transformer core destruction factor by means of multivariate methods for data analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 2-2013; 492-498
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6502851/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2013.6502851
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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