Hits:

Indexed by:期刊论文

Date of Publication:2012-04-01

Journal:Journal of Computational Information Systems

Included Journals:EI、Scopus

Volume:8

Issue:7

Page Number:2999-3006

ISSN No.:15539105

Abstract:Thermal lifetime estimation of low voltage ethylene propylene rubber (EPR) shipboard power cables using artificial neural network (ANN) is discussed in this paper. In order to provide enough data for the artificial neural network and to investigate the correlation among elongation-at-break, temperature and lifetime of the insulation, thermal accelerated aging studies were conducted. The assessment method using a three-layer feed forward neural network with back propagation error was proposed. Predicted and experimental results are comparatively analyzed to prove that ANN is a suitable alternative to traditional, expensive and time consuming experiments. The method discussed in this paper can be extended to other different types of power cables. ? 2012 Binary Information Press.