Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/5606
Título : Component Stress Evaluation in an Electrical Power Distribution System Using Neural Networks
Autor : Sanz Bobi, Miguel Ángel
Andrade Vieira, Rodrigo José
Brighenti, Chiara
Palacios Hielscher, Rafael
Nicolau, Guillermo
Ferrarons, Pere
Vieira Junior, Petronio
Fecha de publicación :  1
Editorial : International Society of Applied Intelligence (ISAI), Computational Intelligence and Bioinformatics (Córdoba, España)
Resumen : 
This paper presents a procedure that permits a qualitative evaluation of the stress in components of an electric power distribution system. The core of this procedure is the development of a set of models based on neural networks that are able to represent and to predict the normal behavior expected of the components under different working conditions. The paper includes the application to the characterization of the thermal behavior of power transformers and the operation time of circuit breakers..
Descripción : Capítulos en libros
URI : http://hdl.handle.net/11531/5606
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