Adaptive wavelets applied to fault classification on transmission lines

Autores
Pérez, F. E.; Orduña, Eduardo Agustín; Guidi Venerdini, Guillermo David
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An adaptive wavelet algorithm (AWA) is presented, applied to classifying transitory events caused by faults in transmission lines. The algorithm generates the wavelets on the basis of the fundamental definitions of discrete wavelet transform (DWT) using a classification method based on probability such as the Bayesian linear discrimination analysis. A discriminant criterion shows the capacity of the method for distinguishing between fault types (classes). In order to do this, it only uses the current measurements of just one phase of the transmission line. The algorithm can be applied to high-speed transient-based protection (TBP) schemes that employ data windows shorter than one-fourth cycle of the fundamental frequency of the system. The results show a high level of success in the classification, even higher than the approach using mother wavelets pertaining to known families, such as Daubechies.
Fil: Pérez, F. E.. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Orduña, Eduardo Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
Adaptive wavelets
Classification methods
Current measurements
Data windows
Discriminant criteria
Fault classification
Fault types
Fundamental frequencies
High-speed
Linear discrimination analysis
Mother wavelets
Transmission line
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:11336/237390
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/237390
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Adaptive wavelets applied to fault classification on transmission linesPérez, F. E.Orduña, Eduardo AgustínGuidi Venerdini, Guillermo DavidAdaptive waveletsClassification methodsCurrent measurementsData windowsDiscriminant criteriaFault classificationFault typesFundamental frequenciesHigh-speedLinear discrimination analysisMother waveletsTransmission linehttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2An adaptive wavelet algorithm (AWA) is presented, applied to classifying transitory events caused by faults in transmission lines. The algorithm generates the wavelets on the basis of the fundamental definitions of discrete wavelet transform (DWT) using a classification method based on probability such as the Bayesian linear discrimination analysis. A discriminant criterion shows the capacity of the method for distinguishing between fault types (classes). In order to do this, it only uses the current measurements of just one phase of the transmission line. The algorithm can be applied to high-speed transient-based protection (TBP) schemes that employ data windows shorter than one-fourth cycle of the fundamental frequency of the system. The results show a high level of success in the classification, even higher than the approach using mother wavelets pertaining to known families, such as Daubechies.Fil: Pérez, F. E.. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Orduña, Eduardo Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaInstitution of Engineering and Technology2011-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/237390Pérez, F. E.; Orduña, Eduardo Agustín; Guidi Venerdini, Guillermo David; Adaptive wavelets applied to fault classification on transmission lines; Institution of Engineering and Technology; Iet Generation Transmission & Distribution; 5; 7; 7-2011; 694-7021751-8687CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1049/iet-gtd.2010.0615info:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2010.0615info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:00:14Zoai:ri.conicet.gov.ar:11336/237390instacron: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 10:00:14.685CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Adaptive wavelets applied to fault classification on transmission lines
title Adaptive wavelets applied to fault classification on transmission lines
spellingShingle Adaptive wavelets applied to fault classification on transmission lines
Pérez, F. E.
Adaptive wavelets
Classification methods
Current measurements
Data windows
Discriminant criteria
Fault classification
Fault types
Fundamental frequencies
High-speed
Linear discrimination analysis
Mother wavelets
Transmission line
title_short Adaptive wavelets applied to fault classification on transmission lines
title_full Adaptive wavelets applied to fault classification on transmission lines
title_fullStr Adaptive wavelets applied to fault classification on transmission lines
title_full_unstemmed Adaptive wavelets applied to fault classification on transmission lines
title_sort Adaptive wavelets applied to fault classification on transmission lines
dc.creator.none.fl_str_mv Pérez, F. E.
Orduña, Eduardo Agustín
Guidi Venerdini, Guillermo David
author Pérez, F. E.
author_facet Pérez, F. E.
Orduña, Eduardo Agustín
Guidi Venerdini, Guillermo David
author_role author
author2 Orduña, Eduardo Agustín
Guidi Venerdini, Guillermo David
author2_role author
author
dc.subject.none.fl_str_mv Adaptive wavelets
Classification methods
Current measurements
Data windows
Discriminant criteria
Fault classification
Fault types
Fundamental frequencies
High-speed
Linear discrimination analysis
Mother wavelets
Transmission line
topic Adaptive wavelets
Classification methods
Current measurements
Data windows
Discriminant criteria
Fault classification
Fault types
Fundamental frequencies
High-speed
Linear discrimination analysis
Mother wavelets
Transmission line
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv An adaptive wavelet algorithm (AWA) is presented, applied to classifying transitory events caused by faults in transmission lines. The algorithm generates the wavelets on the basis of the fundamental definitions of discrete wavelet transform (DWT) using a classification method based on probability such as the Bayesian linear discrimination analysis. A discriminant criterion shows the capacity of the method for distinguishing between fault types (classes). In order to do this, it only uses the current measurements of just one phase of the transmission line. The algorithm can be applied to high-speed transient-based protection (TBP) schemes that employ data windows shorter than one-fourth cycle of the fundamental frequency of the system. The results show a high level of success in the classification, even higher than the approach using mother wavelets pertaining to known families, such as Daubechies.
Fil: Pérez, F. E.. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Orduña, Eduardo Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Guidi Venerdini, Guillermo David. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description An adaptive wavelet algorithm (AWA) is presented, applied to classifying transitory events caused by faults in transmission lines. The algorithm generates the wavelets on the basis of the fundamental definitions of discrete wavelet transform (DWT) using a classification method based on probability such as the Bayesian linear discrimination analysis. A discriminant criterion shows the capacity of the method for distinguishing between fault types (classes). In order to do this, it only uses the current measurements of just one phase of the transmission line. The algorithm can be applied to high-speed transient-based protection (TBP) schemes that employ data windows shorter than one-fourth cycle of the fundamental frequency of the system. The results show a high level of success in the classification, even higher than the approach using mother wavelets pertaining to known families, such as Daubechies.
publishDate 2011
dc.date.none.fl_str_mv 2011-07
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/11336/237390
Pérez, F. E.; Orduña, Eduardo Agustín; Guidi Venerdini, Guillermo David; Adaptive wavelets applied to fault classification on transmission lines; Institution of Engineering and Technology; Iet Generation Transmission & Distribution; 5; 7; 7-2011; 694-702
1751-8687
CONICET Digital
CONICET
url http://hdl.handle.net/11336/237390
identifier_str_mv Pérez, F. E.; Orduña, Eduardo Agustín; Guidi Venerdini, Guillermo David; Adaptive wavelets applied to fault classification on transmission lines; Institution of Engineering and Technology; Iet Generation Transmission & Distribution; 5; 7; 7-2011; 694-702
1751-8687
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-gtd.2010.0615
info:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2010.0615
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 Institution of Engineering and Technology
publisher.none.fl_str_mv Institution of Engineering and Technology
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
_version_ 1844613781064253440
score 13.070432

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