吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1957-1963.doi: 10.13229/j.cnki.jdxbgxb201706038

• Orginal Article • Previous Articles     Next Articles

Improved empirical mode decomposition method based on optimal feature

LIU Wei-na1, ZHOU Xiao-long1, JIANG Zhen-hai2, MA Feng-lei2   

  1. 1.College of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun 130022, China;
    2.School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2016-08-04 Online:2017-11-20 Published:2017-11-20

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Abstract: To solve the problem that mode mixing exists during Empirical Mode Decomposition (EMD), an improved EMD method based on the best feature of intrinsic mode function is proposed. First, the method of boundary local mean is used to deal with the end effect problem. Meanwhile, limited white noises are added at each stage of the EMD. Then, a unique residual component is computed to get each intrinsic mode function with a small number of ensemble size, thus, the mode mixing problem is solved. The results of the numerical simulation and real experiments show that the proposed method has good performance in solving the mode mixing problem and can restrain the end effect problem effectively.

Key words: mechanical design, empirical mode decomposition(EMD), optimal feature, mode mixing, intrinsic mode function

CLC Number: 

  • TN911.7
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