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Automatic identification of power quality events using a machine learning approach

In nowadays, Power Quality (PQ) events have been studied because they represent an essential aspect for the industries concerning the efficiency and the useful life of the elements connected to electrical systems. If the disturbances related to PQ events are classified (identified) fast and with rel...

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Detalles Bibliográficos
Publicado en:Scientia Et Technica
Main Authors: A. F. Valencia-Duque, A. M. Álvarez Meza, A. A. Orozco-Gutiérrez
Formato: Artigo
Idioma:Inglês
Publicado: Universidad Tecnológica de Pereira 2019
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Acceso en liña:https://www.redalyc.org/articulo.oa?id=84961237006
https://www.redalyc.org/journal/849/84961237006/
https://www.redalyc.org/journal/849/84961237006/html/
https://www.redalyc.org/journal/849/84961237006/84961237006.epub
https://www.redalyc.org/journal/849/84961237006/movil
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