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De-noising of diesel vibration signal using wavelet packet and singular value decomposition
DU AN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui, ZHANG Dong-liang
(Faculty of Mechanical and Electronic Engineering in China University of Petroleum,Beijing 102249, China )
Abstract:
The vibration signals of diesel include much noise that must be eliminated before characteristic parameters extraction. Firstly, the effects of vibration-signal de-noising among Fourier transform, wavelet decomposition and wavelet packet decomposition were compared. Secondly, the singular value decomposition was applied to de-noise vibration signals. Finally, a new de-noising method integrated with wavelet packet and singular value was put forward. 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 signal-to noise ratio of the vibration signals of diesel cylinder lid is the highest. The diesel vibration wave-form of combustion and valve gets clearly and the extracted characteristic parameters become more precise.
Key words:  diesel  vibration signal  de-noising  wavelet packet decomposition  singular value decomposition