电测与仪表2016，Vol.53Issue(19)：12-15,26,5.
变压器振动信号模态特征提取及分析
Modal feature extraction and analysis of transformer vibration signal
摘要
Abstract
In view of the non-stationary and nonlinear characteristics of vibration signals in transformer fault condi-tions, the method of selecting intrinsic mode function ( IMF) which is based on ensemble empirical mode decomposi-tion (EEMD) is proposed in this paper.Firstly, the transformer vibration signal is decomposed by using EEMD , and the sensitive components of obtained IMFs are extracted by using correlation coefficient .Then, the feature vector is constructed with the IMF energy entropy , which is used as a criterion for the transformer winding state identification . The experimental results verify the validity of the method for fault diagnosis of transformer winding .关键词
绕组故障/集合经验模态分解/本征模式函数/相关系数/特征矢量Key words
wingding fault/ensemble empirical mode decomposition/intrinsic mode function/correlation coefficient/feature vector分类
信息技术与安全科学引用本文复制引用
丁巧林,赵卜,张珂,宋巍..变压器振动信号模态特征提取及分析[J].电测与仪表,2016,53(19):12-15,26,5.基金项目
国家自然科学基金资助项目（61302163）；河北自然科学基金资助项目（ F2015502062）；中央高校基本科研业务费专项资金 （）
