摘要
研究了根据电力变压器的油色谱分析结果和电气试验数据,将六种可燃性气体(H2、C2H6、CH4、C2H4、C2H2、CO)分别占气体总和的百分比值作为神经网络的四个输入量,采取四比值法利用BP网络对电力变压器故障进行综合诊断。
According to the analysis of power transformer oil chromatography and electrical tests data, we take the ratio of six combustible gas （H2, C2H6, CH4, C2H4, C2H2, CO） as the four input of neural net- work. Then we adopt the four ratio method to carry out transformer fault diagnosis based on BP network.
出处
《河北工程技术高等专科学校学报》
2013年第3期39-42,共4页
Journal of Hebei Engineering and Technical College Quarterly
