中文摘要：

针对变压器故障情况下振动信号具有非平稳、非线性的特点,提出了利用集合经验模态分解（ensemble empirical mode decomposition method,EEMD）变压器振动信号进而选择有效本征模式函数（intrinsic mode function,IMF）的方法。该方法通过计算变压器原振动信号与分解后的本征模式函数的归一化相关系数来选取有效分量。再利用筛选出的本征模式函数构造特征矢量,将其作为变压器绕组状态识别的依据。实验结果证明了该方法可准确诊断变压器绕组的故障。

英文摘要：

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, andthe sensitive components of obtained IMFs are extracted by using correlation coefficient. Then, the feature vector isconstructed 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.