Gas Sensor Array System for Analyzing Fault in Transformer
Wu Haoyang¹, Chang Bingguo¹, Zhu Changchun¹, Liu Junhua¹, Zhou Xiaohua²
(1. Xi'an Jiaotong University , Xi'an 710049, China; 2. Xidian University)

Abstract: 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.
Keywords: gas sensor array;RBF neural networks;dissolved gases analysis