Title
Prediction of breakdown voltages in N2 + SF6 gas mixtures
Document Type
Conference Proceeding
Publication Date
10-15-2006
Publication Title
IEEE Xplore
Conference Name
2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena
Abstract
This study proposes artificial neural networks (ANN) to predict the breakdown voltages in N 2 + SF 6 gas mixtures. The proposed ANN consists of one input layer, two hidden layers and one output layer, which is essentially the predicted breakdown voltage. In order to train the ANN, the experimental data available in literature for N 2 + SF 6 have been used. When compared with the experimental data the average relative errors on predicted breakdown voltages are found to be less than plusmn5% for training as well as for testing in all cases using the proposed ANNs. Since the average errors are less than 5%, it is recommended to use the proposed ANNs to predict the breakdown voltages.
Rights Statement
This is a RoMEO green publisher - Must link to publisher version
© Copyright 2006 IEEE
Recommended Citation
Tezcan, S. S.; Dincer, M. S.; and Hiziroglu, Huseyin R., "Prediction of breakdown voltages in N2 + SF6 gas mixtures" (2006). Electrical & Computer Engineering Presentations And Conference Materials. 44.
https://digitalcommons.kettering.edu/electricalcomp_eng_conference/44
Comments
Kansas City, MO, USA