Optimization of LS-SVM Parameters Using Genetic Algorithm to Improve DGA Based Fault Classification of Transformer- A Review

نویسنده

  • V. R. Ingle
چکیده

This paper gives the comparison of different methodologies for the fault classification in transformer based on Dissolved Gas Analysis. This paper describes the Dissolved Gas Analysis based fault classification of Transformer using Least Square Support Vector Machine. The parameters of Support Vector Machine are optimized using Genetic Algorithm. Failure of a large power transformer not only results in the loss of very expensive equipment but it can cause significant collateral damage as well.

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تاریخ انتشار 2012