FAULT DIAGNOSIS OF POWER TRANSFORMER INSULATION BASED ON FUZZY NORMAL PARTITION AND LOGIC REASONING

摘要：

A new diagnosis method based on fuzzy normal partition and logic reasoning for insulation fault of power transformer is put forward in this paper.First, according to the normal distribution functions, fuzzy processing of the insulation diagnosis parameters and diagnosis conclusions is realized.Secondly, the insulation diagnosis knowledge is acquired and the reasoning rules are built Finally, the reasoning results are gotten by applying fuzzy reasoning in fault diagnosis.The method may resolve the problem that the relations between actual test data and diagnosis conclusions are difficult to describe and improve the reasoning efficiency.Moreover, the method increases the accuracy of fault diagnosis and maneuverability by actual computation.

关键词： Fault diagnosis Power transformer Fuzzy partition Logic reasoning

作者: LI XIE LONG ZHOU XIAO-JUN TONG MIAN-YUN CHEN

作者单位: Wuhan Polytechnic University, Wuhan 430023 P.R.China Huazhong University of Science and Technology, Wuhan 430074 P.R.China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1081-1085

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）