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基于混合免疫算法的变压器故障诊断
引用本文:任静,黄家栋,李胜杰. 基于混合免疫算法的变压器故障诊断[J]. 电力科学与工程, 2009, 25(9): 26-29
作者姓名:任静  黄家栋  李胜杰
作者单位:1. 华北电力大学,电力系统保护与动态安全监控教育部重点实验室,河北,保定,071003
2. 山东茌平县电业公司,山东,茌平,252100
摘    要:为了提高变压器故障诊断正确率,提出一种免疫支持向量机混合智能诊断方法,首先将变压器故障分为放电性和过热性,然后用免疫聚类算法对所荻取的数据进行预选取,加快模型参数的确定速度,利用支持向量机识别类内变压器故障,利用基于交叉验证的网格搜索法来确定支持向量基的参数.经过大量实例分析,并将其结果与神经网络方法进行对比,表明该算法具有较高的诊断精度.

关 键 词:电力变压器  故障诊断  免疫聚类  支持向量机

Power Transformer Fault Diagnosis Base on Mixed Method of Artificial Immune
Ren Jing,Huang Jiadong,Li Shengjie. Power Transformer Fault Diagnosis Base on Mixed Method of Artificial Immune[J]. Power Science and Engineering, 2009, 25(9): 26-29
Authors:Ren Jing  Huang Jiadong  Li Shengjie
Affiliation:Ren Jing1,Huang Jiadong1,Li Shengjie2(1.Key Laboratory of Power System Protection , Dynamic Security Monitoring , Control of Ministry of Education,North China Electric Power University,Baoding 071003,China,2.Sh,ong Shiping Power Company,Shiping 252100,China)
Abstract:In order to improve the correct rate of dissolved gas analysis(DGA),this paper investigates an intelligent mixed method of the artificial immune vector machines,first the transformer faults were divided into two types,discharge fault and thermal fault,the achieved samples were pre-selected with the artificial immune to solve the problem of long time consuming in parameter determination,and the two fault type were recognized with their statistical features.The support vector classifier was adopted to identif...
Keywords:power transformer  fault diagnosis  artificial immune clustering  support vector machine  
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