文献类型：会议论文

英文题名：Application of Wavelet Soft Threshold Denoising Algorithm Based on EMD Decomposition in Vibration Signals

作者：Sun, Biao[1];Zhou, Shaoping[1];Wang, Congyi[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai, Peoples R China

会议论文集：6th International Conference on Systems and Informatics

会议日期：NOV 02-04, 2019

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：EMD decomposition; wavelet threshold denoising; Vibration signal; Centrifugal pump

摘要：This paper proposes the wavelet threshold noise reduction algorithm based on Empirical Mode Decomposition (EMD) to solve the problems of centrifugal pump vibration signal complex, exist various frequency band non-single interference signal and useful signal amplitude is small, etc. The algorithm combines the adaptive characteristics of EMD decomposition and the time-frequency localization characteristics of wavelet threshold denoising algorithm. While simplifying the noise reduction process, it can effectively deal with non-single interference signals in each frequency band. In order to verify the applicability of this algorithm, it is compared with wavelet threshold noise reduction algorithm and spatial-temporal filtering analysis method. Finally, the influence of soft and hard threshold functions on the noise reduction effect is analyzed. The experimental results show that the wavelet soft threshold denoising algorithm based on EMD decomposition has better noise reduction effect when the centrifugal pump vibration signal is used as the noise reduction object.