Model building for current transformer paper-oil insulation state diagnostics

Model building for current transformer paper-oil insulation state diagnostics

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.

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Bibliographische Detailangaben
Datum:2014
Hauptverfasser: Skrupskaya, L. S., Oliinyk, A. O., Sakhno, A. A.
Format: Artikel
Sprache:Russian
Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2014
Schlagworte:
diagnostics
transformer equipment
insulation
a neural network
621.3.048.1
004.93
Online Zugang:http://eie.khpi.edu.ua/article/view/2074-272X.2014.2.11
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Назва журналу:Electrical Engineering & Electromechanics

Institution

Electrical Engineering & Electromechanics
Beschreibung
Zusammenfassung: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.

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