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..
Palabras clave: diagnosis - multi-layer perceptron - normal behavior models - self-organised map - anomaly detection - component stress
23rd International Conference on Industrial, Engineering &. Other Applications of Applied Intelligent Systems - IEA-AIE 2010, Córdoba (España). 01 junio 2010
Fecha de publicación: junio 2010.
M.A. Sanz-Bobi, R.J. Andrade Vieira, C. Brighenti, R. Palacios, G. Nicolau, P. Ferrarons, P. Vieira Junior, Component Stress Evaluation in an Electrical Power Distribution System Using Neural Networks, 23rd International Conference on Industrial, Engineering &. Other Applications of Applied Intelligent Systems - IEA-AIE 2010. ISBN: 978-3-642-13021-2, pp. 21-30, Córdoba, España, 01-04 Junio 2010