23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2010, Córdoba (Spain). 01-04 June 2010
Summary:
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..
Keywords: diagnosis - multi-layer perceptron - normal behavior models - self-organised map - anomaly detection - component stress
DOI: 
https://doi.org/10.1007/978-3-642-13033-5_3
Published in: Trends in Applied Intelligent Systems: Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2010, vol. Part III, pp: 21-30, ISBN: 978-3-642-13032-8
Publication date: 01-Jun-2010.
Citation:
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", presented at 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2010, Córdoba, Spain, 01-04 June 2010. In: Trends in Applied Intelligent Systems: Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2010, vol. Part III, pp. 21-30, doi: 10.1007/978-3-642-13033-5_3
IIT-10-050A
