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De-noising of diesel vibration signal using wavelet packet and singular value decomposition |
| DUAN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui |
| 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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Issue Date: 05 December 2006
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