Research of the Transient Signal Recognition Based on Empirical Mode Decomposition

Wan Jin Wang; Kui Feng Chen

doi:10.4028/www.scientific.net/AMM.548-549.1173

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549Research of the Transient Signal Recognition Based...

Research of the Transient Signal Recognition Based on Empirical Mode Decomposition

Abstract:

This paper introduces the empirical mode decomposition (EMD) method of the basic theory, problems and means to solve. Apply the approach to mechanical vibration signal containing a transient pulse processing and analysis carried out, and the wavelet time-frequency analysis methods are compared, the results show that it can effectively decompose nonlinear and non-stationary vibration signals, and has a self-adaptive, and in the time domain and frequency domain have better resolution capabilities, and the component with a more clear physical meaning. Due to its diversity of showing the results, you can make further precise analysis of a single component, and the transient signals can be effectively recognized, and can locate mutation point in time, describing the time-frequency localization properties. EMD, transient signals, mechanical vibration

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Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

1173-1178

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.1173

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Online since:

April 2014

Authors:

Wan Jin Wang*, Kui Feng Chen

Keywords:

Empirical Mode Decomposition (EMD), Mechanical Vibration, Transient Signals

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References

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