Aplicación de redes neuronales probabilísticas en la detección de fallas incipientes en transformadores


Authors

  • Juan Andres Cadena
  • Juan Mauricio Cadena
  • Sandra Milena Pérez Londoño

DOI:

https://doi.org/10.22517/23447214.3153

Abstract

En este documento se presenta una herramienta de diagnóstico basada en metodologías de inteligencia artificial como las redes neuronales probabilísticas, utilizadas en la detección de fallas en transformadores. Utilizando los resultados entregados por ensayos realizados sobre el aceite de un transformador, a través del análisis de gases disueltos (AGD), se obtienen los conjuntos de datos para el entrenamiento y posterior prueba para la red neuronal. Los resultados obtenidos se comparan con los calculados mediante metodologías dadas en el estándar IEEE C57-104, permitiendo obtener con ello un criterio de validez sobre la metodología artificial implementada.

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Published

2008-08-30

How to Cite

Cadena, J. A., Cadena, J. M., & Pérez Londoño, S. M. (2008). Aplicación de redes neuronales probabilísticas en la detección de fallas incipientes en transformadores. Scientia Et Technica, 2(39). https://doi.org/10.22517/23447214.3153

Issue

Vol. 2 No. 39 (2008)

Section

Eléctrica

License

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