Application of the Empirical Mode Decomposition Time-Frequency Analysis Method Based on Pipeline Leak Detection

Jing Tian

doi:10.4028/www.scientific.net/AMM.602-605.2213

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Application of the Empirical Mode Decomposition...

Application of the Empirical Mode Decomposition Time-Frequency Analysis Method Based on Pipeline Leak Detection

Abstract:

In pipeline leak detection, collected fault signal will inevitably influenced by all kinds of industrial noise, sometimes even the useful signals submerged by the noise, so it causes a huge problem for leak location. Regarding this problem, the Empirical Mode Decomposition was used to analyze the signal instead of the traditional method of Time-Frequency analysis method. Compared with the traditional method, this method can not only get tid of noise, but also analyze the fault signal more accurately, which would help to improve the accuracy of the pipeline leak detection further.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2213-2216

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2213

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Online since:

August 2014

Authors:

Jing Tian*

Keywords:

Empirical Mode Decomposition (EMD), Fault Detection, Pipeline Leak Detection, Time-Frequency Analysis

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* - Corresponding Author

References

[1] LEON C. Time-Frequency Analysis: Theory and Applications [M]. New York: Prentice Hal, l 2005: 32-50.

Google Scholar

[2] Ke-yu QI, Zhengjia HE, Yan-yang ZI. Cosine W indow-Based Boundary Processing Method for EMD and Its Application in Rubbing Fault Diagnosis [J]. Mechanical Systems and Signal Processing, 2007, 21 (7): 2750-2760.

DOI: 10.1016/j.ymssp.2007.04.007

Google Scholar

[3] Xiao LI, BASSIUNY AM. Transient Dynamical Analysis of Strain Signals in Sheet Metal Stamping Processes [J]. International Journal of Machine Tools and Manufacture, 2008, 48 (5): 576-588.

DOI: 10.1016/j.ijmachtools.2007.06.010

Google Scholar

[4] Huang N E. A new method for nonlinear and nonstationary time series analysis：Empirical mode decomposition and Hilbert spectral analysis[J]. Proc. Of SPIE，2000，(4056)： 197-209.

Google Scholar

[5] Huang N E, Wu MC, Long S Retal. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis[J]. Proceedings of the Royal Society of London，Series A, ，2003，459： 2317-2354.

Google Scholar

[6] Hui Sun, Empirical mode decomposition theory and application research [D]. Hangzhou: Zhejiang university, (2005).

Google Scholar