Educational software for power quality analysis
- Autores
- de Yong, David Marcelo; Reineri, Claudio Ariel; Magnago, Fernando
- Año de publicación
- 2013
- Idioma
- español castellano
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods. © 2003-2012 IEEE.
Fil: de Yong, David Marcelo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Reineri, Claudio Ariel. Universidad Nacional de Río Cuarto; Argentina
Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina - Materia
-
Power Quality
Simulation Softwar
Neural Network
Wavelet Transform - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/82252
Ver los metadatos del registro completo
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Educational software for power quality analysisde Yong, David MarceloReineri, Claudio ArielMagnago, FernandoPower QualitySimulation SoftwarNeural NetworkWavelet Transformhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods. © 2003-2012 IEEE.Fil: de Yong, David Marcelo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Reineri, Claudio Ariel. Universidad Nacional de Río Cuarto; ArgentinaFil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; ArgentinaInstitute of Electrical and Electronics Engineers2013-04-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/82252de Yong, David Marcelo; Reineri, Claudio Ariel; Magnago, Fernando; Educational software for power quality analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 23-4-2013; 479-4851548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6502849info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:20Zoai:ri.conicet.gov.ar:11336/82252instacron: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 09:48:20.875CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Educational software for power quality analysis |
title |
Educational software for power quality analysis |
spellingShingle |
Educational software for power quality analysis de Yong, David Marcelo Power Quality Simulation Softwar Neural Network Wavelet Transform |
title_short |
Educational software for power quality analysis |
title_full |
Educational software for power quality analysis |
title_fullStr |
Educational software for power quality analysis |
title_full_unstemmed |
Educational software for power quality analysis |
title_sort |
Educational software for power quality analysis |
dc.creator.none.fl_str_mv |
de Yong, David Marcelo Reineri, Claudio Ariel Magnago, Fernando |
author |
de Yong, David Marcelo |
author_facet |
de Yong, David Marcelo Reineri, Claudio Ariel Magnago, Fernando |
author_role |
author |
author2 |
Reineri, Claudio Ariel Magnago, Fernando |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Power Quality Simulation Softwar Neural Network Wavelet Transform |
topic |
Power Quality Simulation Softwar Neural Network Wavelet Transform |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods. © 2003-2012 IEEE. Fil: de Yong, David Marcelo. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Reineri, Claudio Ariel. Universidad Nacional de Río Cuarto; Argentina Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina |
description |
This paper presents educational software that allows users to generate, detect and classify electrical power disturbance signals using a Wavelet Transform and Neural Networks based algorithm. This software includes four main modules: a) Signal Acquisition Module that allows the incorporation of waveforms stored in a data base; b) Generation Module which permits the generation of diverse disturbed waveforms; c) Detections Module provides tools to analyze different disturbance detection algorithms and d) Classification Module that determines the disturbance type using different pattern classification methods. © 2003-2012 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-23 |
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/11336/82252 de Yong, David Marcelo; Reineri, Claudio Ariel; Magnago, Fernando; Educational software for power quality analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 23-4-2013; 479-485 1548-0992 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/82252 |
identifier_str_mv |
de Yong, David Marcelo; Reineri, Claudio Ariel; Magnago, Fernando; Educational software for power quality analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 11; 1; 23-4-2013; 479-485 1548-0992 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
spa |
language |
spa |
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info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6502849 info:eu-repo/semantics/altIdentifier/doi/ |
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 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 |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
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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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13.070432 |