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De-noising of diesel vibration signal using wavelet packet and singular value decomposition

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Abstract

The vibration signals of diesel include excess noise that must be eliminated before extraction of characteristic parameters. Firstly, the effects of vibration-signal de-noising among Fourier transform, wavelet decomposition and wavelet packet decomposition are compared. Secondly, singular value decomposition is applied to de-noising vibration signals. Finally, a new de-noise method integrated with wavelet packet and singular value is presented. In this method, vibration signals are decomposed by wavelet packet, and the wavelet packet coefficient is de-noised by singular value decomposition again. The results indicate that the new de-noising method is the best. The SNR (signal-to-noise ratio) of the vibration signals of a diesel cylinder lid is the highest. The diesel vibration waveforms of combustion and valve become clear and the extracted characteristic parameters become more precise.

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Authors and Affiliations

  1. Faculty of Mechanical and Electronic Engineering, China University of Petroleum, Beijing, 102249, China

    Duan Li-xiang, Zhang Lai-bin & Wang Zhao-hui

Authors
  1. Duan Li-xiang
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  2. Zhang Lai-bin
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  3. Wang Zhao-hui
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Corresponding author

Correspondence to Duan Li-xiang.

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Translated from Journal of China University of Petroleum (Natural Science Edition), 2006, 30(1) (in Chinese)

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Duan, Lx., Zhang, Lb. & Wang, Zh. De-noising of diesel vibration signal using wavelet packet and singular value decomposition. Front. Mech. Eng. China 1, 443–447 (2006). https://doi.org/10.1007/s11465-006-0055-6

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  • DOI: https://doi.org/10.1007/s11465-006-0055-6

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