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Conference paper information

Component Stress Evaluation in an Electrical Power Distribution System Using Neural Networks

M.A. Sanz-Bobi, R.J. Andrade Vieira, C. Brighenti, R. Palacios, G. Nicolau, P. Ferrarons, P. Vieira Junior

23rd International Conference on Industrial, Engineering &. Other Applications of Applied Intelligent Systems - IEA-AIE 2010, Cordova (Spain). 01 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: DOI icon 10.1007/978-3-642-13033-5_3

Publication date: June 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, 23rd International Conference on Industrial, Engineering &. Other Applications of Applied Intelligent Systems - IEA-AIE 2010, Cordova (Spain). 01-04 June 2010.


    Research topics:
  • *Forecasting and data mining
  • *Modeling, simulation and optimization
  • *Artificial intelligence applied to maintenance diagnosis and reliability
  • *Mobile Robots and artificial vision
  • *RAMS Analysis compliance with the regulations IEC 61508, Quality Control and Assurance

IIT-10-050A

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