Partial Discharge Signal Extracting Using the Empirical Mode Decomposition with Wavelet Transform

摘要：

Empirical mode decomposition (EMD) has good adaptivity for non-stationary and nonlinear signal analysis.This paper uses the advantage of EMD and combines with the wavelet transform (EMD-WT) to extract partial discharge (PD) signals in noises.The wavelet transform is a common used method for PD signal denoising.However, once the signal to noise ratio (SNR) decreases seriously, the WT method will be failed.Compare to the WT method, the EMD-WT has better performance for noise reduction.It has been verified that the EMD-WT method can preserve more information even though the SNR is low.The results show that the EMD-WT is suitable for PD denoising in a noisy environment.

关键词： Empirical mode decomposition (EMD) Partial discharge (PD) Wavelet transform (WT) Empirical mode decomposition with wavelet transform (EMD-WT) Signal to noise ratio (SNR)

作者: Mei-Yan Lin Cheng-Chi Tai Ya-Wen Tang Ching-Chau Su

作者单位: Department of Electrical Engineering,National Cheng Kung University,1 University Road,Tainan City 70 Department of Electrical Engineering,Nan Jeon Institute of Technology,178 Chaoqin Road,Yanshui Dist.

会议类型: 国际会议

会议名称: 第七届亚太防雷国际会议

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）