Resumen
In power transmission systems faults returning leaving them offline. This problem generates an economic impact on the interested parties, partly because in certain cases transmission lines protections act in a delayed manner or because the data processing generated by electrical protections tends to be a tedious. Artificial intelligence personnel have implemented a number of methods aimed to provide solutions for detection, classification and localization of said faults. In this work, a multilayer neural network capable of performing the process of classifying 11 types of faults in power transmission lines was implemented. As a result, a graphical interface allows users to intuitively visualize the faults.
Idioma original | Inglés |
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Páginas | 175-184 |
Número de páginas | 10 |
DOI | |
Estado | Publicada - 2021 |
Evento | 6th International Conference on Advanced Engineering Theory and Applications, AETA 2019 - Bogota, Colombia Duración: 6 nov. 2019 → 8 nov. 2019 |
Conferencia
Conferencia | 6th International Conference on Advanced Engineering Theory and Applications, AETA 2019 |
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País/Territorio | Colombia |
Ciudad | Bogota |
Período | 6/11/19 → 8/11/19 |