Sparse Decomposition method of Leakage Current Based on EMD

摘要：

As sparse decomposition method can improve the efficiency of data compression, its effective to reduce data storage and transmission costs in insulator monitoring system by compressing non-stationary leakage current. There are large computation and high reconstruction error during Fast Fourier Transform (FFT) decomposing non-stationary leakage current. To solve these problems, this paper presents sparse decomposition method of leakage current based on EMD. Decomposed non-stationary leakage current into a finite number of stationary intrinsic mode functions (IMF), then sparse decomposition of FFT processed every IMFs. The experiment results indicate that this method not only enhances the speed of process but also the whole compression ratio in the case that FFT processes leakage current by EMD.

关键词： empirical mode decomposition sparse decomposition FFT signal reconstruction

作者: Chen Qing Huang Jian-cai Zhu Yong-li

作者单位: School of Control and Computer Engineering North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 625-628

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）