Flashover forecasting on high-voltage insulators with a backpropagation neural net

Canadian Journal of Electrical and Computer Engineering

Volumn 21, Issue 1, 1996, Pages

  Mejía Lavalle, Manuel ^a   Rodríguez Ortiz, Guillermo ^a  

^a INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CALCULATIONS; DATA STORAGE EQUIPMENT; ELECTRIC NETWORK TOPOLOGY; NEURAL NETWORKS;

BACKPROPAGATION NEURAL NETWORK; FLASHOVER FORECASTING; HIGH VOLTAGE INSULATORS;

ELECTRIC INSULATORS;

EID: 4243109713     PISSN: 08408688     EISSN: None     Source Type: Journal    
DOI: 10.1109/cjece.1996.7102114     Document Type: Article

References (17)

1. Artificial Neural Networks: Forecasting Time Series, V. Vemuri, Ed., IEEE Computer Society Press, 1993.
2. J. Farley, "Neural nets for predicting behavior," Dr. Dobb's J., vol. 18, no. 2, Feb. 1993, pp. 82-88.
3. M. El-Sharkawi, "Short term electric load forecasting using an adaptively trained layered perceptron," in Proc. First Int. Forum Applic. of Neural Networks to Power Syst., Seattle, Wash., July 1991, pp. 3-6.
4. I. Ascencio, "Predicción de la contaminación de ozono en la Ciudad de México por medio de redes neuronales," in Memorias del Primer Congreso Nacional de Investigación en Ciencias Computational, León, México, Sep. 1992, pp. 179-184.
5. M. Brace, "Comparison of the forecasting accuracy of neural networks with other established techniques," in Proc. First Int. Forum Applic. of Neural Networks to Power Syst., Seattle, Wash., July 1991, pp. 31-35.
6. J. González, "La resistencia superficial como criterio de diagnóstico del aislamiento externo expuesto a contaminación," Memorias de la Reunión de Verano del Capítulo de Potencia (IEEE Sección México), Acapulco, México, July 1993, pp. 9-13.
7. B. Hampton, "Flashover mechanism of polluted insulation," in Proc. IEE, vol. 111, no. 5, May 1964, pp. 986-992.
8. S. Lahouar, "Neural networks and their applications in electric power systems," in Proc. Expert Syst. Applic. Electric Power Industry, Boston, Mass., 1991, pp. 3-14.
9. Neurocomputing: Foundations of Research, J. Anderson, Ed., Cambridge, Mass.: MIT Press, 1988.
10. A. Blum, Neural Networks in C++ , Wiley & Sons, Inc., 1992.
11. D. Rumelhart, "Chapter 8," in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1, Cambridge, Mass.: MIT Press, 1986.
12. D. Hush, "Progress in supervised neural networks," IEEE Signal Proc. Mag., Vol. 10, no. 1, Jan. 1993, pp. 8-39.
13. California Scientific Software, BrainMaker Professional V 3.0, 1993.
14. G. Hinton, "How neural networks learn from experience," Sci. Amer., Vol. 267, no. 3, Sep. 1992, pp. 144-151.
15. A. Lapedes, "Nonlinear signal processing using neural networks: Prediction and signal modelling," Los Alamos National Laboratories, Los Alamos, N.M., Tech. Rep. LA-UR-87-2662, 1987.
16. E. Baum, Neural Computation, Cambridge, Mass.: MIT Press, 1988.
17. W. Press, "Chapter 12," in Numerical Recipes, Cambridge: Cambridge Univ. Press, 1988.