Study on Empirical Mode Decomposition and Multifractal of Frictional Vibration Signal

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (3) : 198-203.

LI Jing-ming1,2,WEI Hai-jun2,WEI Li-dui2,YANG Zhi-yuan2,LIU Hong2

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Abstract

For the purpose of extracting and quantitatively characterizing the characteristic signal of frictional vibration, simulation experiments of friction and wear of a piston ring against a cylinder in marine diesel engine were conducted on the testing machine. The nonlinear and nonstationary frictional vibration signals were decomposed and several intrinsic mode functions (IMFs) were acquired by using empirical mode decomposition (EMD). Based on the range of amplitudes and the crosscorrelation coefficient, the IMFs involving the characteristic of frictional vibration were extracted to resynthesize the characteristic signal of frictional vibration which was then analyzed by utilizing the improved multifractal algorithm to derive the multifractal spectrum as well as its width, peak value, dimensional difference and asymmetric index. It was shown by the results that the weak characteristic signal of frictional vibration could be extracted by EMD and the frictional vibration signal could be characterized by the parameters of the multifractal spectrum.

Key words

empirical mode decomposition / multifractal / spectrum parameter / frictional vibration

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LI Jing-ming1,2,WEI Hai-jun2,WEI Li-dui2,YANG Zhi-yuan2,LIU Hong2. Study on Empirical Mode Decomposition and Multifractal of Frictional Vibration Signal[J]. Journal of Vibration and Shock, 2016, 35(3): 198-203

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