Classification of sags according to their origin based on the waveform similarity

A statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is...

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Detalles Bibliográficos
Autores: Meléndez i Frigola, Joaquim, Berjaga Moliné, Xavier, Herraiz Jaramillo, Sergio, Barrera Núñez, Víctor Augusto, Sánchez, Jorge, Castro, M.
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/2666
Acceso en línea:http://hdl.handle.net/10256/2666
Access Level:acceso abierto
Palabra clave:Energia elèctrica -- Distribució -- Alta tensió
Energia elèctrica -- Transmissió -- Control de qualitat
Errors de diagnòstic
Diagnostic errors
Electric power distribution -- High tension
Electric power transmission -- Quality control
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spelling Classification of sags according to their origin based on the waveform similarityMeléndez i Frigola, JoaquimBerjaga Moliné, XavierHerraiz Jaramillo, SergioBarrera Núñez, Víctor AugustoSánchez, JorgeCastro, M.Energia elèctrica -- Distribució -- Alta tensióEnergia elèctrica -- Transmissió -- Control de qualitatErrors de diagnòsticDiagnostic errorsElectric power distribution -- High tensionElectric power transmission -- Quality controlA statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is built on the basis of multi-way principal component analysis an later used to project the available registers in a new space with lower dimension. Thus, a case base of diagnosed sags is built in the projection space. Finally classification is done by comparing new sags against the existing in the case base. Similarity is defined in the projection space using a combination of distances to recover the nearest neighbours to the new sag. Finally the method assigns the origin of the new sag according to the origin of their neighboursIEEE2008info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10256/2666http://hdl.handle.net/10256/2666© IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, 2008, p. 1-6Articles publicats (D-EEEiA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1109/TDC-LA.2008.4641819info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-2217-3Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/26662026-05-29T05:05:01Z
dc.title.none.fl_str_mv Classification of sags according to their origin based on the waveform similarity
title Classification of sags according to their origin based on the waveform similarity
spellingShingle Classification of sags according to their origin based on the waveform similarity
Meléndez i Frigola, Joaquim
Energia elèctrica -- Distribució -- Alta tensió
Energia elèctrica -- Transmissió -- Control de qualitat
Errors de diagnòstic
Diagnostic errors
Electric power distribution -- High tension
Electric power transmission -- Quality control
title_short Classification of sags according to their origin based on the waveform similarity
title_full Classification of sags according to their origin based on the waveform similarity
title_fullStr Classification of sags according to their origin based on the waveform similarity
title_full_unstemmed Classification of sags according to their origin based on the waveform similarity
title_sort Classification of sags according to their origin based on the waveform similarity
dc.creator.none.fl_str_mv Meléndez i Frigola, Joaquim
Berjaga Moliné, Xavier
Herraiz Jaramillo, Sergio
Barrera Núñez, Víctor Augusto
Sánchez, Jorge
Castro, M.
author Meléndez i Frigola, Joaquim
author_facet Meléndez i Frigola, Joaquim
Berjaga Moliné, Xavier
Herraiz Jaramillo, Sergio
Barrera Núñez, Víctor Augusto
Sánchez, Jorge
Castro, M.
author_role author
author2 Berjaga Moliné, Xavier
Herraiz Jaramillo, Sergio
Barrera Núñez, Víctor Augusto
Sánchez, Jorge
Castro, M.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Energia elèctrica -- Distribució -- Alta tensió
Energia elèctrica -- Transmissió -- Control de qualitat
Errors de diagnòstic
Diagnostic errors
Electric power distribution -- High tension
Electric power transmission -- Quality control
topic Energia elèctrica -- Distribució -- Alta tensió
Energia elèctrica -- Transmissió -- Control de qualitat
Errors de diagnòstic
Diagnostic errors
Electric power distribution -- High tension
Electric power transmission -- Quality control
description A statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is built on the basis of multi-way principal component analysis an later used to project the available registers in a new space with lower dimension. Thus, a case base of diagnosed sags is built in the projection space. Finally classification is done by comparing new sags against the existing in the case base. Similarity is defined in the projection space using a combination of distances to recover the nearest neighbours to the new sag. Finally the method assigns the origin of the new sag according to the origin of their neighbours
publishDate 2008
dc.date.none.fl_str_mv 2008
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/2666
http://hdl.handle.net/10256/2666
url http://hdl.handle.net/10256/2666
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TDC-LA.2008.4641819
info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-2217-3
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv © IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, 2008, p. 1-6
Articles publicats (D-EEEiA)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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