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基于模糊积分融合技术的变压器故障识别
引用本文:曹永刚,周玲,丁晓群,冯磊,马文静,吴桢. 基于模糊积分融合技术的变压器故障识别[J]. 高电压技术, 2006, 32(3): 54-56
作者姓名:曹永刚  周玲  丁晓群  冯磊  马文静  吴桢
作者单位:河海大学电气工程学院,南京,210098;山东泗水供电公司,泗水,273200
摘    要:提出了一种基于模糊积分融合技术的变压器故障诊断新方法。首先建立三比值的隶属函数并对三比值数据进行模糊预处理,再用4个不同的径向基函数神经网络进行故障识别,最后利用模糊积分融合方法将4组诊断结果进行融合处理,得出诊断结果。仿真实例表明这种方法比单个人工神经网络具有更高的故障诊断性能。

关 键 词:电力变压器  径向基函数  模糊积分  故障诊断
文章编号:1003-6520(2006)03-0054-03
收稿时间:2005-09-01
修稿时间:2005-09-01

Power Transformer Fault Diagnosis Based on Fuzzy Integral Fusion
CAO Yonggang,ZHOU Ling,DING Xiaoqun,FENG Lei,MA Wenjing,WU Zheng. Power Transformer Fault Diagnosis Based on Fuzzy Integral Fusion[J]. High Voltage Engineering, 2006, 32(3): 54-56
Authors:CAO Yonggang  ZHOU Ling  DING Xiaoqun  FENG Lei  MA Wenjing  WU Zheng
Affiliation:1. School of Electrical Engineering, Hehai University, Nanjing 210098, China, 2. Shandong Sishui Power Company, Sishui 273200, China
Abstract:A new method to diagnose power transformer based on fuzzy integral fusion is presented.Firstly,the membership function of the value of three ratio is presented and the data of value of three ratio are processed by fuzzy method,then the faults are identified by using four different radial basis function neural network,finally foru results of diagnosis from four different neural network are fused by fuzzy integral fusion and form the final diagnosis.The simulation results of presented method prove to be more effective than single neural network in fault diagnosis.
Keywords:power transformer  radial basis function  fuzzy integral  fault diagnosis
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