Breakdown strength estimation of air and a mixture of air+SF6 using artificial neural network approach

Kevork Mardikyan*, Serhat Seker, Emine Ayaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The breakdown strength of dry air and a mixture of dry air + SF6 containing 1% SF6 in non-uniform field was studied in a pressure range of 50 to 450 kPa. Addition of 1% of SF6 to dry air increased considerably the breakdown voltage in a non-uniform field. An Artificial Neural Network (ANN) gave a very good performance in the extrapolation of breakdown voltage values above the measuring range.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalAdvances in Modelling and Analysis B
Volume43
Issue number1-2
Publication statusPublished - 2000

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