De-Noising Method for Wayside Train Bearings Acoustic Signal Based on Doppler Shift

Fei Hu; Chang Qing Shen; Fan Rang Kong

doi:10.4028/www.scientific.net/AMM.333-335.504

Paper Titles

A Web-Based Remote Laboratory Using SCADA Technology
p.480

Research and Design about a System of Harmonic Detection Based on ARM and HHT
p.487

Study on the Position Drift of GPS Single Point and Improving the Accuracy of Positioning
p.492

The Demodulate and Denoising of Vibration Signal under very Noise Condition
p.499

De-Noising Method for Wayside Train Bearings Acoustic Signal Based on Doppler Shift
p.504

Doppler Shift Elimination Method Based on Instantaneous Frequency Estimation for the Wayside Acoustic Signal
p.510

Study on Filtering Methods of Airborne Gravity
p.516

A Real-Time Processing Method of Underwater Ambient Noise Spectrum Based on One-Third Octave
p.522

The Method Based on Pattern Filter for Sonnd & Vibration Signal
p.526

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335De-Noising Method for Wayside Train Bearings...

De-Noising Method for Wayside Train Bearings Acoustic Signal Based on Doppler Shift

Abstract:

The noises with high level from the different positions of the train lead to the difficulty for extraction of the acoustic signal from the train bearings. Thus the de-noising should be carried out to eliminate the influence of the noises. A new de-noising method has been proposed based on the Doppler Shift. With the crazy climber detection algorithm, all the instantaneous frequencies could be extracted. According to the acoustic theory of Morse, the information of the position of these acoustic sources is revealed. Finally, the variable digital filtering was employed to remove the noises from the other positions of the train. A simulation on the signal containing with ten frequency components demonstrated the validity of this method proposed and the useful components of the signal were enhanced.

You might also be interested in these eBooks

Measurement Technology and Engineering Researches in Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

504-509

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.504

Citation:

Cite this paper

Online since:

July 2013

Authors:

Fei Hu, Chang Qing Shen, Fan Rang Kong

Keywords:

Acoustic Signal, Crazy Climber Detection Algorithm, De-Noising Method, Doppler Shift, Variable Digital Filtering

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. C. Choe, Y. Wan, A. K. Chan: SPIE Proceedings on Wavelet Applications Vol. 3087 (1997), pp.480-496.

Google Scholar

[2] F. D. Irani, et al: Foreign Rolling Stock Vol. 39 (2002) , pp.39-45.

Google Scholar

[3] D. Barke and W. K. Chiu, Structural Health Monitoring Vol. 4 (2005), pp.81-93.

Google Scholar

[4] J. E. Cline and J. R. Bilodeau: Proceedings of the 1998 ASME/IEEE Joint Railroad Conference, (1998), pp.79-83.

Google Scholar

[5] D. Thompson, in: Railway Noise and Vibration: Mechanisms, Modelling and Means of Control, chapter, 1, Linacre House (2009), pp.6-9.

Google Scholar

[6] R. A. Carmona, W. L. Hwang, and B. Torrésani. IEEE trans. on signal processing Vol. 47 (1999), pp.480-492.

Google Scholar

[7] X. Zhang, in: Signal Representation and Reconstruction based on Ridge extrction(In Chinese), chapter, 2, Southeast University Press (2003).

Google Scholar

[8] W. Wu and B. Tang: Chinese Journal of Scientific Instrument(In Chinese) Vol. 29 (2008), pp.782-786.

Google Scholar

[9] P. M. Morse and K. U. Ingard, in: Theoretical Acoustics (Section 2), translated by X. Yang, et al, chapter, 11, Science Press (1986) pp.822-850.

Google Scholar