Trend Extraction in Vibration Signal Based on EMD

Yu Hua Dong; Jun Xing Zhang

doi:10.4028/www.scientific.net/AMR.459.377

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Trend Extraction in Vibration Signal Based on EMD

Trend Extraction in Vibration Signal Based on EMD

Abstract:

This paper proposed a de-trend method for vibration signal of telemetry based on the empirical mode decomposition (EMD) by correlation coefficient matrix. The signal is decomposed to a series of intrinsic mode component and the remainder item by EMD. It mainly distinguishes between the remainder item and the signal trend, according to the correlation coefficient matrix to determine whether some intrinsic mode component belongs to the trend item or not. The results show that signal trends can be extracted accurately through the effective combination EMD with correlation coefficient matrix and the proposed method has good applicability for different signals and different trends.

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Periodical:

Advanced Materials Research (Volume 459)

Pages:

377-380

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.377

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Online since:

January 2012

Authors:

Yu Hua Dong, Jun Xing Zhang

Keywords:

Correlation Coefficient Matrix, Empirical Mode Decomposition (EMD), Telemetry, Vibration Signal

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References

[1] Gao Pinxian. Test signal analysis processing method and program [M]. Chengdu: Southwest Jiaotong University Press, 1999. 1-5.

Google Scholar

[2] Bendat J S, Piersol A G. Random data : analysis and measurement procedures [M]. Second edition. New York: John Wiley and Sons, 1986. 396-398.

DOI: 10.1177/058310249202400503

Google Scholar

[3] Loh CH, st al. Application of the empirical mode decomposition-Hilbert spectrum method to identify near-fault ground-motion characteristics and structural responses. Bulletin of the Seismological Society of Ametica, 2001; (91) : 1339-1357.

DOI: 10.1785/0120000715

Google Scholar

[4] Huang N.E., Shen Z., Long S. R., et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proceeding of Royal Society London, 1998, 454(A): 903-995.

DOI: 10.1098/rspa.1998.0193

Google Scholar

[5] Su Yuxiang, Liu Zhigang. A new method for end effect of EMD and its application to harmonic analysis [J]. Advanced Technology of Electrical Engineering and Energy. 2008 27(2): 33-37.

Google Scholar