Study on Fault Diagnosis for Transformer Based on Adaptive Fuzzy Inference System

摘要：

This paper has effectively combined self-study advantage of adaptive neural network and fuzzy reasoning method of fuzzy math, resolved the problem that the fuzzy rule is difficult to be determined in the fault diagnosis for transformer insulation, confirmed the fuzzy rule and the fuzzy subject degree by using self-study function of adaptive neural network and established ANFIS model of transformer fault diagnosis. This model has realized the fault diagnosis for electric equipments and reflected the operation condition of the transformer.

关键词： Fault diagnosis neural network fuzzy theory transformer.

作者: Wen-ping Hu Xiao-wei Wang Xiang-gen Yin

作者单位: Hebei Electric Power Research Institute,Shijiazhuang 050021 China Huazhong University of Science and Technology,Wuhan 430074 China

会议类型: 国际会议

会议名称: 2008 China International Conference on Electricity Distribution (CICED 2008)(2008中国国际供电会议)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）