A new approach using Least Squares Support Vector Machines (LS-SVM) to predict Furan in power transformers

• Autorzy: Mahdjoubi A. , Zegnini B. , Belkheiri M.

Identyfikatory

DOI

10.12915/pe.2014.02.37

Warianty tytułu

PL

Nowa metoda prognozowania obecności Furanu w transformatorach energetycznych wykorzystująca algorytm LS-SVM

• Języki publikacji: EN

Abstrakty

EN

LS-SVM present recently more efficiency in different industrial applications like medicine, engineering and power systems. This paper describes a methodology that was developed for the prediction of Furan in power transformers. The methodology uses as input variables such as the dissolved gases (CO and CO2). The approach presents the advantage that can reduce the time vs. laboratory tests. The validity of the approach was examined by testing several power transformers. LS-SVM gives a good estimation of results which are validated by experimental tests.

PL

W artykule opisano metodologię prognozowania obecności Furanu w transformatorach energetycznych. Na wejściu podawane są takie parametry jak ilość rozpuszczonych gazów CO i CO2. Metoda opiera się na wykorzystaniu algorytmów LS-SVM.

Słowa kluczowe

EN

LS SVM; Furan; modeling; power transformer insulator

PL

LS-SVM; Furan; modelowanie; moc transformatora izolatorem

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2014
• Tom: R. 90, nr 2
• Strony: 142--145
• Opis fizyczny: Bibliogr. 24 poz., tab., wykr.

Twórcy

autor

Mahdjoubi A.

• Laboratory of studies and development of the Semiconducting and dielectric materials , Amar TELIDJI university of Laghouat, P.O box 37G, Ghardaïa road, Laghouat 03000, Algeria

autor

Zegnini B.

• Laboratory of studies and development of the Semiconducting and dielectric materials , Amar TELIDJI university of Laghouat

autor

Belkheiri M.

• Laboratory of telecommunications, signals and systems, Amar TELIDJI university of Laghouat

Bibliografia

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