电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2014年
11期
71-75,90
,共6页
韩世军%朱菊%毛吉贵%詹汶燕
韓世軍%硃菊%毛吉貴%詹汶燕
한세군%주국%모길귀%첨문연
粒子群算法%支持向量机%变压器故障诊断
粒子群算法%支持嚮量機%變壓器故障診斷
입자군산법%지지향량궤%변압기고장진단
particle swarm algorithm%support vector machine%transformer fault diagnosis
针对基于DGA的变压器故障诊断方法在变压器故障诊断中存在的不足,提出了基于粒子群优化支持向量机的变压器故障诊断方法。建立支持向量机分类机的变压器故障诊断模型,并用粒子群算法优化参数,利用libSVM工具箱在MATLAB软件平台上训练支持向量机分类机,用训练良好的支持向量机诊断110 kV立星变电站变压器故障状况。结果证明,采用基于粒子群优化支持向量机的变压器故障诊断结果与实际相符。此方法能够提高变压器故障诊断的准确率。
針對基于DGA的變壓器故障診斷方法在變壓器故障診斷中存在的不足,提齣瞭基于粒子群優化支持嚮量機的變壓器故障診斷方法。建立支持嚮量機分類機的變壓器故障診斷模型,併用粒子群算法優化參數,利用libSVM工具箱在MATLAB軟件平檯上訓練支持嚮量機分類機,用訓練良好的支持嚮量機診斷110 kV立星變電站變壓器故障狀況。結果證明,採用基于粒子群優化支持嚮量機的變壓器故障診斷結果與實際相符。此方法能夠提高變壓器故障診斷的準確率。
침대기우DGA적변압기고장진단방법재변압기고장진단중존재적불족,제출료기우입자군우화지지향량궤적변압기고장진단방법。건립지지향량궤분류궤적변압기고장진단모형,병용입자군산법우화삼수,이용libSVM공구상재MATLAB연건평태상훈련지지향량궤분류궤,용훈련량호적지지향량궤진단110 kV립성변전참변압기고장상황。결과증명,채용기우입자군우화지지향량궤적변압기고장진단결과여실제상부。차방법능구제고변압기고장진단적준학솔。
A particle swarm optimization-based support vector machine strategy for fault diagnosis of transformer has been put forward in this paper aiming at the deficiency in traditional diagnosis based on DGA. The transformer fault diagnosis model is established with support vector machine classification, and the particle swarm optimization algo-rithm is adopted to realize parameter optimization. Support vector machine classification machine is trained on the MATLAB platform using libSVM toolbox, and the well-trained SVM will be adopted to diagnose the transformer fault condition for 110kV Lixing substation. Results show that, using the particle swarm optimization of transformer for fault diagnosis based on support vector machine agree with the reality. This method can improve the accuracy of fault diag-nosis of transformer.