Application of RBF Network with Ant Colony and Fisher Ratio to Fault Diagnosis of Oil-immersed Transformer

摘要：

The ant colony algorithm combined with Fisher ratio algorithm is applied in fault diagnosis of oilimmersed transformer. Because the usual algorithm to ascertain RBF center is so single that the structure simplification of RBF and training accuracy cant be assured, the ant colony algorithm combined with Fisher ratio algorithm is used to optimize RBF structure. The simulation result shows that this algorithm used in this paper make the RBF structure simplify and the accuracy improve. The ant colony/Fisher ratio together is more effective than the ant colony algorithm alone in fault diagnosis of oil-immersed transformer.

关键词： RBF ant colony algorithm Fisher ratio DGA fault diagnosis

作者: Aihua Li Xiaoyun Sun Donghui Liu

作者单位: Department of Electrical Engineering Mechanical Engineering College Shijiazhuang, China College of Electrical and Electronics Engineering Shijiazhuang Tiedao University Shijiazhuang, China College of Electrical Engineering and Information Science Hebei University of Science and Technology

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 563-565

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）