Title :
Prediction of thermal ageing in transformer oil and high voltage PVC cables using artificial neural networks
Author :
Mokhnacke, L. ; Boubakeur, A. ; Feliachi, A.
Author_Institution :
Inst. d´´Electrotechnique, Univ. de Batna, Algeria
fDate :
5/2/2003 12:00:00 AM
Abstract :
The prediction of the thermal ageing of transformer oil and of high voltage PVC cables using artificial neural networks (ANNs) is discussed. This prediction provides an alternative to costly laboratory experiments. To validate the proposed technique, predicted and laboratory results are compared. The ANN used is a radial basis function Gaussian network trained by a random optimisation method.
Keywords :
ageing; life testing; plastics; power cable insulation; power cable testing; power engineering computing; radial basis function networks; transformer oil; artificial neural networks; high voltage PVC cables; laboratory results; predicted results; radial basis function Gaussian network; random optimisation method; thermal ageing prediction; transformer oil;
Journal_Title :
Science, Measurement and Technology, IEE Proceedings -
DOI :
10.1049/ip-smt:20030268