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Optimal Wavelet Basis Selection for Wavelet Denoising of Structural Vibration Signal

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Abstract:

Wavelet basis selection is an important part in the wavelet denoising of structural vibration signal. However, some defects are present in the existing methods, such as large computation and a single optimal index. In order to solve these problems, a new selection method based on multiple index is proposed in this paper. Firstly, the wavelet basis category which suits for the vibration signal denoising is determined by analyzing the characteristics of wavelet basis and vibration signal. Then, a multiple index evaluation function is constructed by mean square error indicator (MSE), signal-to-noise ratio indicator (SNR) and correlation coefficient indicator (ρ), the weights of index are received by analytic hierarchy process (AHP), the wavelet basis with biggest evaluation function value is considered as optimal wavelet basis. At the end of the paper, a experiment is provided to verify the effectiveness of the new method, the results show that the new method is better than the other four methods in MSE, SNR and ρ index.

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Periodical:

Applied Mechanics and Materials (Volumes 578-579)

Pages:

1059-1063

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.578-579.1059

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Cite this paper

Online since:

July 2014

Authors:

Can He*, Jian Chun Xing, Qi Liang Yang

Keywords:

Multiple Index, Vibration Signal, Wavelet Basis, Wavelet Denoising

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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