Neural networks in prediction of thermal ageing effect on oil/paper insulation electrical properties

Autor:	Ahmed Boubakeur, L. Mokhnache, R. Kattan, P. Verma
Rok vydání:	2005
Předmět:	Materials science Artificial neural network Electrical resistivity and conductivity law Electric breakdown General Physics and Astronomy Dielectric loss Dielectric Thermal ageing Composite material Transformer law.invention
Zdroj:	Journal de Physique IV (Proceedings). 124:147-151
ISSN:	1155-4339
DOI:	10.1051/jp4:2005124023
Popis:	This paper presents in a first part an experimental study on the effect of thermal ageing on Oil/Paper Insulation Electrical Properties. In the second part, artificial neural networks (RBFG) have been applied to predict the electrical properties for longest ageing periods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2784a59e5447e4bb4e1f28bf4689acce https://doi.org/10.1051/jp4:2005124023 Zobrazit plný text záznamu