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

• Autorzy: Szczepaniak, P. , Kłosiński, M.

Warianty tytułu

PL

Zastosowanie klasyfikatora do diagnozy gazów rozpuszczonych w oleju transformatora mocy

• Języki publikacji: EN

Abstrakty

EN

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.

PL

Przedstawiono nową metodę diagnostyki transformatora mocy bazująca na algorytmie “support vector machine”. W systemie bada się chromatograficznie gazy rozpuszczone w oleju transformatorowym.

Słowa kluczowe

PL

SVM; transformator mocy; analiza oleju; klasyfikator

EN

classification; power transformers; DGA; IEC; maximal margin classifiers; SVM

• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 2
• Strony: 100-104
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Szczepaniak, P.

autor

Kłosiński, M.

• Technical University of Łódź, Institute of Information Technology, ul. Wólczańska 215, 90-924 Łódź,

Bibliografia

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