Model building for current transformer paper-oil insulation state diagnostics

Autor: L.S. Skrupskaya, A.O. Oliinyk, A.A. Sakhno
Jazyk: English<br />Russian<br />Ukrainian
Rok vydání: 2014
Předmět:
Zdroj: Electrical engineering & Electromechanics, Iss 2, Pp 48-51 (2014)
Druh dokumentu: article
ISSN: 2074-272X
Popis: A feedforward neural network based diagnostic model of oil-impregnated paper insulation of a current transformer has been developed. Its experimental validation as compared with a regression model has been performed.
Databáze: Directory of Open Access Journals