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

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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://ojs2.utp.edu.co/index.php/revistaciencia/article/view/6225

Issue

Vol. 3 No. 32 (2006)

Section

Eléctrica

License

Copyright (c) 2017 Scientia et technica

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