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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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| Publicat a: | Scientia Et Technica |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Universidad Tecnológica de Pereira
2019
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| Matèries: | |
| Accés en línia: | 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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