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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Flashover Prediction of Pin-type Insulator Based on the Characteristics of Leakage Current using ANN

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Author Bala Kumaran.M, Goutham.S, Raja Sabari.T, Vimalathithan.S, Vijeesh.V
ISSN 2079-8407
On Pages 359-366
Volume No. 4
Issue No. 4
Issue Date May 01, 2013
Publishing Date May 01, 2013
Keywords Insulator, Leakage current, Flash over, Pollution, MSE, Artificial Neural Network.


Abstract

The phenomenon of flash over in polluted insulators has been continued by the study of the characteristics of contaminating layers deposited on the surface of insulators in high voltage laboratories. In this paper pin type insulator model is used for studying the flash over phenomenon due to pollution under wet conditions given at low voltage. Laboratory based test were carried out on the sample model under AC voltage at different pollution levels. Different concentration of salt solution has been prepared using NaCl, Kaolin & distilled water representing the various contaminations. Leakage current during the experimental studies were measured for various polluted conditions and the results are compared with the simulation results. A new model of Vc = f( V, Imean, Imax and Is) based on artificial neural network has been developed to predict flashover from the analysis of leakage current. The input variable to the artificial neural network are Mean(Imean), Maximum(Imax) and Standard Deviation(Is) of leakage current and the input voltage(V).The target obtained was used to evaluate the performance of the neural network model. The developed ANN model is well-suited for the analysis of leakage current to predict flashover on the pin-type insulator with high accuracy.
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