Selection of Optimistic Wavelet Base in Running-In Vibration Signal Denoising of Remanufacturing Engine

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In the process of running-in vibration signal denoising for remanufacturing engine based on wavelet transform, there are relatively large differences in denoising results when different wavelet bases are used, so the selection of wavelet bases affect the consequent of de-noising processing. On the base of analyzing the characteristics of the commonly used wavelet bases, the paper has compared the impact of the wavelet base on signal denoising. Using SNR(Signal to Noise Ratio) and RMSE(Root Mean Square Error) as criteria, and combined with the characteristics of the running-in vibration signal of the remanufacturing engine, the wavelet base coif4 has been selected as the optimistic base, which has relatively better denoising effect, and improves the SNR and resolution, so it can be used in actual practice.

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Edited by:

Chunliang Zhang and Paul P. Lin

Pages:

335-339

Citation:

X. B. An et al., "Selection of Optimistic Wavelet Base in Running-In Vibration Signal Denoising of Remanufacturing Engine", Applied Mechanics and Materials, Vols. 226-228, pp. 335-339, 2012

Online since:

November 2012

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$38.00

[1] Y. Guo. Research on wavelet base selection for vibration signal processing(M.S., Hefei University of Technology, China 2003), p.19.

[2] Y.K. Sun. Wavelet analysis and application(Mechanical Industry Press, China 2005).

[3] Y.B. Gao, D.F. Zha: Communication Technology, Vol. 41 (2008) No. 11, p.185.

[4] Cai Min: Information and Electronic Engineering, Vol. 9 (2011) No. 2, p.211.

[5] G.R. Zhai, H.X. Pan: Vehicle Engine, Vol. 1 (2009) No. 1, p.77.

[6] B.R. Wang, Y.X. Yang, and W. Cai: Noise and Vibration Control, Vol. 6 (2008) No. 12, p.9.

[7] H.B. Zheng. Feature extraction and diagnosis of non-stationary and non-gauss mechanical signals(Ph.D., Hefei University of Technology 2002), p.22.