Gas sensor array system for analyzing fault in transformer

被引：0

作者：

Wu, Haoyang

Chang, Bingguo

Zhu, Changchun

Liu, Junhua

Zhou, Xiaohua

机构：

来源：

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2000年 / 34卷 / 04期

关键词：

Arrays - Chemical analysis - Gases - Insulating oil - Neural networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Gas sensor array technique and RBF (radial basis function) neural network are applied to analyze four mixed gases dissolved in transformer oil. The results show that the gas sensor array system can overcome disadvantages of BP neural network such as determining the local minimum. Its learning speed is 2 to 3 orders of magnitude faster than BP neural network. Confirmation is obtained by experiments.

引用

页码：23 / 25

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