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Przegląd Elektrotechniczny

Tytuł artykułu

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

Autorzy Mahdjoubi, A.  Zegnini, B.  Belkheiri, M. 
Treść / Zawartość
Warianty tytułu
PL Nowa metoda prognozowania obecności Furanu w transformatorach energetycznych wykorzystująca algorytm LS-SVM
Języki publikacji EN
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
PL LS-SVM   Furan   modelowanie   moc transformatora izolatorem  
EN LS SVM   Furan   modeling   power transformer insulator  
Wydawca Wydawnictwo SIGMA-NOT
Czasopismo Przegląd Elektrotechniczny
Rocznik 2014
Tom R. 90, nr 2
Strony 142--145
Opis fizyczny Bibliogr. 24 poz., tab., wykr.
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.
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Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-57432d19-c87e-4ef7-acef-839e6b56e3fd
DOI 10.12915/pe.2014.02.37