Prediction of Polluted Insulators Characteristics using Artificial Neural Networks

被引：0
|
作者：
Teguar, M. [1 ]
Mekhaldi, A. [1 ]
Boubakeur, A. [1 ]
机构：
[1] Ecole Natl Polytech, Dept Electrotech, Lab Haute Tens, Lab Rech Electrotech, Algiers 16200, Algeria
来源：
2012 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA (CEIDP) | 2012年
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D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose three prediction algorithms using the artificial neural networks to generalise some characteristics describing the electrical arc propagation on polluted insulators. For that purpose, three Radial Basis Function Gaussian (RBFG) networks with one output have been elaborated. The difference between these configurations consists in the nature of the input and output units. The chosen networks are trained by Random Optimisation Method (ROM). A discussion to determine the best configuration is presented.
引用
收藏
页码：767 / 770
页数：4
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