电测与仪表2018，Vol.55Issue(5)：14-21,87,9.
基于频响曲线稀疏表示的变压器绕组变形模式识别方法
A transformer winding deformation pattern recognition method based on sparse representation of frequency response curve
摘要
Abstract
In order to improve the condition monitoring level of power transformer winding,a transformer winding deformation pattern recognition method based on sparse decomposition of frequency response curve was proposed in this paper.The over-complete dictionary of Gabor atoms was constructed and the frequency response curves of normal and deformation winding were obtained by the finite element model.On this basis,the frequency response curves of winding under normal conditions and deformation conditions were sparse decomposed in the over-complete dictionary.Then,the short frequency Fourier transform and superposition of all matched Gabor atoms were carried out to obtain the equivalent time-frequency distribution of the normal curve and deformation curve.The time-frequency distribution values of two different curves were subtracted in order to obtain the feature vector,which also could be used as a criterion to reflect the deformation degree of frequency response curve of winding.Finally,the support vector machine (SVM) is used to realize the identification of different winding deformation faults.The experimental results show that the method proposed in this paper has a high reliability and is suitable for winding deformation pattern recognition.关键词
绕组变形/稀疏表示/匹配追踪/支持向量机Key words
winding deformation/sparse representation/matching pursuit/support vector machine (SVM)分类
信息技术与安全科学引用本文复制引用
刘云鹏,程槐号,胡焕,张重远..基于频响曲线稀疏表示的变压器绕组变形模式识别方法[J].电测与仪表,2018,55(5):14-21,87,9.基金项目
广东电网公司科技项目(GDKJ00000021) （GDKJ00000021）
