Skip to main content
Log in

Identification of acoustic wave propagation in a duct line and its application to detection of impact source location based on signal processing

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

For the detection of the impact location in a pipeline system, the correlation method has been the conventional method. For the application of the correlation method, the diameter of a duct should be small so that the acoustic wave inside the duct can propagate with nondispersive characteristics, in the form of, for example, a plane wave. This correlation method calculates the cross-correlation between acoustic waves measured at two acceleration sensors attached to a buried duct. It also gives information about the arrival time delay of an acoustic wave between two sensors. These arrival time delays are used for the estimation of the impact location. However, when the diameter of the duct is large, the acoustic waves inside the duct propagate with dispersive characteristics owing to the reflection of the acoustic wave off of the wall of the duct. This dispersive characteristic is related to the acoustic modes inside a duct. Therefore, the correlation method does not work correctly for the detection of the impact location. This paper proposes new methods of accurately measuring the arrival time delay between two sensors attached to duct line system. This method is based on the time-frequency analyses of the short time Fourier transform (STFT) and continuous wavelet transform (CWT). These methods can discriminate direct waves (non-dispersive waves) and reflective waves (dispersive waves) from the measured wave signals through the time-frequency analysis. The direct wave or the reflective wave is used to estimate the arrival time delay. This delay is used for the identification of the impact location. This systematic method can predict the impact location due to the impact forces of construction equipment with more accuracy than the correlation method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. J. M. Muggleton and M. J. Brennan, Leak Noise Propagation and Attenuation in Submerged Plastic Water pipes, Journal of Sound and Vibration, 278(3) (2006) 527–537.

    Article  Google Scholar 

  2. H. V. Fuchs and R. Riehle, Ten Years of Experience with Leak Detection by Acoustic Signal Analysis, Applied Acoustics, 33(1) (1991) 1–19.

    Article  Google Scholar 

  3. W. T. Chu, Acoustical Characteristics of Leak Signals in Plastic Water Distribution Pipes, Applied Acoustics, 58(3) (1997) 235–254.

    Google Scholar 

  4. S. B. M. Beck, M. D. Curren, N. D. Sims and R. Stanway, Pipeline Network Features and Leak Detection by Cross-Correlation Analysis of Reflected Waves. Journal of Hydrau-lic Engineering, 131(8) (2005) 715–723.

    Article  Google Scholar 

  5. M. L. Munjal, Acoustics of Ducts and Mufflers with Application to Exhaust and Ventilation System Design, Wiley, New York, USA (1987).

    Google Scholar 

  6. L. E. Kinsler, et al. Fundamentals of Acoustics, Wiley, New York, USA (1999).

    Google Scholar 

  7. J. G. Ih and B. H Lee, Analysis of higher-order mode effects in the circular expansion chamber with mean flow, J. Acoust. Soc. Am., 77 (1985) 1377–1388.

    Article  MATH  Google Scholar 

  8. V. Mason, Some Experiments on the Propagation of Sound along a Cylindrical Duct Containing Flowing Air. Journal of Sound and Vibration, 10(2) (1969) 208–226.

    Article  Google Scholar 

  9. K. Shin and J. K. Hammond, Fundamentals of Signal Processing for Sound and Vibration Engineers, Wiley, London, UK, 2008.

    Google Scholar 

  10. S. K. Lee and R. White, Fault Diagnosis of Rotating Machinery Using Wigner Higher Order Moment Spectra, Mechanical Systems Signal Processing, 11(4) (1997) 637–650.

    Article  Google Scholar 

  11. S. K. Lee, S. Banerjee and A. Mal, Identification of Impact Force on a Thick Plate Based on the Elastodynamics and Higher-Order Time-Frequency Analysis, Proceedings of the Institution of Mechanical Engineers Part C, Journal of Mechanical Engineering Science, 221(11) (2007) 1249–1263.

    Article  Google Scholar 

  12. S. K. Lee, An Acoustic Decay Measurement Based on Time-Frequency Analysis Using Wavelet Transform, Journal of Sound and Vibration, 252(1) (2002) 141–152.

    Article  Google Scholar 

  13. Teolis, Computational Signal Processing with Wavelets. Birkhäuser, Boston, USA (1999).

    Google Scholar 

  14. S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, New York (1999).

  15. R. M. Rao and A. S. Bopardikar, Wavelet Transforms Introduction to Theory and Applications, Prentice Hall, New York (1999).

    Google Scholar 

  16. T. ÖnsAy and A. G. Haddow, Wavelet Transform Analysis of Transient Wave Propagation in a Dispersive Medium, The Journal of the Acoustic Society of America, 95(3) (1999) 1441–1449.

    Article  Google Scholar 

  17. D. E. Newland, An Introduction to Random Vibrations, Spectral & Wavelet Analysis, Longman Scientific & Technical Press, London, UK (1994).

    Google Scholar 

  18. S. K. Lee and P. R. White, The Enhancement of Impulsive Noise and Vibration Signals for Fault Detection in Rotating and Reciprocating Machinery, Journal of Sound and Vibration, 217(3) (1998) 485–505.

    Article  Google Scholar 

  19. S. K. Lee and P. R. White, Application of Wavelet Analysis to the Impact Harshness of a Vehicle, Proc. Institute of Mechanical Engineers, Journal on Mechanical Engineering Science, Part C, 214(11) (2002) 1331–1338.

    Article  Google Scholar 

  20. M. S. Kim, S. K. Lee, Y. J. Jang and J. P. Koh, Acoustic Wave Propagation Characteristics Corresponding to the Cutoff Frequency in Gas Pipeline, Journal of The Korean Society for Noise and Vibration Engineering, 18(7) (2008) 693–700.

    Article  Google Scholar 

  21. S. J. Kim, S. G. Kim, K. S. Oh and S. K. Lee, Excitation Force Analysis of a Powertrain based on CAE Technology, International Journal of Automotive Technology, 9(6) (2008) 703–711.

    Article  Google Scholar 

  22. L. Burstein, D. Ingman and Y. Michlin, Correlation between Gas Molecular Weight, Heating Value and Sonic Speed under Variable Compositions of Natural Gas, ISA Transactions, 38(4) (1999) 347–359.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sang Kwon Lee.

Additional information

This paper was recommended for publication in revised form by Associate Editor Yeon June Kang

Sang-Kwon Lee obtained his B.S. in Mechanical Engineering at Pusan National University. In 1998 he received the Ph.D. in Signal Processing at the ISVR (Institute of Sound and Vibration Research) of the University of Southampton in U.K. He has 11 years’ experience in automotive noise control at Hyundai Motor Co. and the Renault-Samsung Motor Company in Korea. In 1999, he moved to Inha University, Inchon, Korea, where he became a professor and continued research on the acoustics and vibration signal processing in the Department of Mechanical Engineering.

Yong Woo Shin is a graduate student in the Department of Mechanical Engineering at Inha University. He has studied the application of signal processing to acoustics and vibration in a duct.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shin, Y.W., Kim, M.S. & Lee, S.K. Identification of acoustic wave propagation in a duct line and its application to detection of impact source location based on signal processing. J Mech Sci Technol 24, 2401–2411 (2010). https://doi.org/10.1007/s12206-010-0910-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-010-0910-6

Keywords

Navigation