Breakdown voltage estimation of SF₆+N₂ mixture using Neural Network Approach

In this paper, AC breakdown strengths of SF₆+N₂ mixtures containing 0.125, 0.5, 1% of SF₆ in non-uniform field are studied. The relative gas pressure are varied within the range of 100-500 kPa and the electrode gap spacing is 5 mm. The results are first measured experimentally and then estimated by means of Neural Network Approach. The comparison of measured and computed values shows that there is a good agreement between two values. The breakdown voltages of the mixtures can be found correctly by the Neural Network (NN) Approach. Therefore, the Neural Network Approach can be considered as an alternative tool to estimate the new values at the out of the measurement range.