Restrain Boundary Effect of EMD Based on Least Square Fitting

doi:10.16182/j.issn1004731x.joss.201809019

Abstract

Abstract: To improve the accuracy of mechanical fault diagnosis, it’s meaningful to do research on the boundary effect of EMD. In this article, least squares linear method is applied to extend local extremum points at the end of a data series, which judges that whether the maximum value is within the wave fluctuation range of the original signal maximum points, whether the minimum value is within the wave fluctuation range of the original signal minimum points. It compares the extended extreme points and endpoint values, so the best signal endpoint is obtained. By calculating the value of similarity coefficient and decomposition error, the results of simulation analysis and tests of fault diagnosis of rolling bearings show that the developed EMD method can depress the boundary effect compared with parallel extending method, extrema shift method and mirror periodic.

Key words: EMD, boundary effect, least squares linear fitting method, extending

CLC Number:

TK422

He Zhenpeng, Zhu Zhiqi, Xie Haichao, Wang Yawen, Li Zongqiang, He Rui, Du Chaoping, Li Jinlan. Restrain Boundary Effect of EMD Based on Least Square Fitting[J]. Journal of System Simulation, 2018, 30(9): 3377-3385.

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