Transient characteristic extraction based on wavelet packet decomposition and EMD

Author

Zhao Ling ; Huang Da-rong ; Cheng Fa-bin

Author_Institution

Coll. of Inf. Sci. & Eng., Chongqing Jiaotong Univ., Chongqing, China

fYear

2013

fDate

25-27 May 2013

Firstpage

4303

Lastpage

4306

Abstract

EMD has its own interpretation of combinations of pure tones, and mode mixing is one of the problems because of the noise and multi component. We give a solution involving wavelet packet decomposition with EMD. The improved signal method is based on wavelet packet decomposition, the noise of the signal is eliminated and we get the IMF without mode mixing. The method also allows EMD to be used to separate components that are similar in frequency that would be inseparable with standard EMD techniques. The experiment shows the method to improve EMD is practical and effective.

Keywords

signal denoising; time-domain analysis; transient analysis; wavelet transforms; IMF; empirical mode decomposition; improved signal method; intrinsic mode functions; mode mixing; signal noise elimination; standard EMD techniques; transient characteristic extraction; wavelet packet decomposition; Gears; Noise; Time-frequency analysis; Vibrations; Wavelet analysis; Wavelet packets; Empirical Mode Decomposition; Fault Diagnosis; Mode Mixing; wavelet packet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561708

Filename

6561708