Pronóstico de fallas de sistemas reparables utilizando redes neuronales artificiales


Authors

  • Marcelo Arbeláez G.

Abstract

Este artículo propone una metodología que permite pronosticar el número de fallas en un sistema mediante el uso de redes neuronales artificiales. Se muestra el desarrollo de la metodología propuesta mediante su aplicación a las líneas primarias de distribución de energía de la ciudad de Pereira

Downloads

Download data is not yet available.

Downloads

Published

2006-01-12

How to Cite

Arbeláez G., M. (2006). Pronóstico de fallas de sistemas reparables utilizando redes neuronales artificiales. Scientia Et Technica, 3(32). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/6225

Issue

Vol. 3 No. 32 (2006)

Section

Eléctrica

License

Copyright (c) 2017 Scientia et technica

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyrights

The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:

In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.

The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright.  Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.