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 OJSST  Vol.5 No.2 , June 2015
The Research of Railway Line State Detection Signal Processing Method Based on EMD
Abstract: In this paper, an EMD de-noising algorithm is proposed based on the statistical feature of random noise, which can eliminate the noise impaction digital integrator generated by the collected railway line state detection signals using strap-down inertial technology. Firstly, the first IMF component of the noise-dominant modes treated by the process “random sort-sum-average-reconstruc-tion”, the signal-to-noise ratio is improved while the noise power is weakened in this process. Then the signal-to-noise cut-off can be determined according to the characters of noise autocorrelation function. Finally, the global threshold could be selected by the noise-dominant mode component, so as to realize the function of filtering. The simulation and validation based on the collected railway line acceleration data using the EMD de-noising algorithm show that the noise in railway line state acceleration detection signals can be effectively eliminated using this method.
Cite this paper: Zhu, W. , Ma, H. , Chai, X. and Zhen, S. (2015) The Research of Railway Line State Detection Signal Processing Method Based on EMD. Open Journal of Safety Science and Technology, 5, 63-68. doi: 10.4236/ojsst.2015.52008.
References

[1]   Zheng, S.B., Lin, J.H. and Lin, G.B. (2007) Implementation of Detecting Maglev Track Long Wave Irregularity Based on Inertial Measurement Principle. Journal of Electronic Measurement and Instrument, 21, 61-65.

[2]   Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., et al. (1998) The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis. Proceedings of the Royal Society of London A, 454, 56-78.

[3]   Rilling, G. and Flandfin, P. (2008) One or Two Frequencies? The Empirical Mode Decomposition Answers. IEEE Transactions on Signal Processing, 56, 85-96.
http://dx.doi.org/10.1109/TSP.2007.906771

[4]   Boudraa, A.-O. and Cexus, J.-C. (2007) EMD-Based Signal Filtering. IEEE Transactions on Instrumentation and Measurement, 56, 2196-2202.
http://dx.doi.org/10.1109/TIM.2007.907967

[5]   Sun, J.-B., Zhu, Y.-L., Liu, L.-Q. and Huang, J.-C. (2010) Study on De-Noising Method Based on EMD Used in Insulator Leakage Current. Journal of North China Electric Power University, 37, 1-5, 22.

[6]   Wang, Z. (2010) Research on EMD Algorithm and Its Application in Signal Denoising. Harbin Engineering University, 34-36.

[7]   Zhu, W.F., Chai, X.D., Zheng, S.B., Li, L.M. and Luo, Y.J. (2012) Developing IMU SignaI Acquisition and Processing System Based on LabVIEW. Computer Measurement & Control, 20, 1697-1698, 1706.

[8]   Liu, X.-C., Chai, X.D., Zheng, S.-B., Zhu, W.-F. and Jiang, Q.-Z. (2013) De-noising Method for Acceleration Signal Measured by Inertial Measurement Unit. Instrument Technique and Sensor, 10, 97-99.

 
 
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