De-noising of diesel vibration signal using wavelet packet and singular value decomposition |
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Authors: | Duan Li-xiang Zhang Lai-bin and Wang Zhao-hui |
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Affiliation: | (1) Faculty of Mechanical and Electronic Engineering, China University of Petroleum, Beijing, 102249, China |
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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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Translated from Journal of China University of Petroleum (Natural Science Edition), 2006, 30(1) (in Chinese) |
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Keywords: | diesel vibration signal de-noising wavelet packet decomposition singular value decomposition |
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