Comparison of Some Neural Network Algorithms Used in Prediction of XLPE HV Insulation Properties Under Thermal Aging

被引：0
|
作者：
Boukezzi, L. [1 ]
Boubakeur, A. [2 ]
机构：
[1] Djelfa Univ, MSIL, Mat Sci & Informat Lab, Djelfa, Algeria
[2] LRE, High Voltage ENP, Algiers, Algeria
来源：
PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012) | 2012年
关键词：
XLPE insulation; Prediction; Neural network;
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：
Some Artificial neural network algorithms have been used to predict properties of high voltage electrical insulation under thermal aging in term to reduce the aging experiment time. In this paper we present a short comparison of the obtained results in the case of Cross-linked Polyethylene (XLPE). The theoretical and the experimental results are concordant. As a neural network application, we propose a new method based on Radial Basis Function Gaussian network (RBFG) trained by two algorithms: Random Optimization Method (ROM) and Back-propagation (BP).
引用
收藏
页码：1218 / 1222
页数：5
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