论文信息 - Maximal margin classifiers applied to DGA-based diagnosis of power transformers

Maximal margin classifiers applied to DGA-based diagnosis of power transformers

The paper addresses a modern approach to the problem of power transformer diagnosis. The method called support vector machines enables the creation of an expert system for oil transformer technical condition diagnosis. The system, which is based on real results of chromatography of gases dissolved in transformer oil (DGA), performs better than an internationally acknowledged standard – the IEC code.

P. Szczepaniak | M. Kłosiński | P. Szczepaniak | M. Klosinski

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