Skip to main content
SpringerLink
Log in

Underwater moving noise source identification based on hybrid near-field acoustical holography

  • Research Paper
  • Published:
Science China Physics, Mechanics and Astronomy Aims and scope Submit manuscript

Abstract

Near-field acoustical holography (NAH) is a powerful tool for identifying noise sources and visualizing acoustic field. By recording the acoustic pressures in the near-field, the acoustic quantities in the whole 3-D field can be reconstructed and predicted. However, the current theory of NAH is not applicable to tracking large scale moving noise sources. Therefore, the hybrid near-field acoustical holography is developed for reconstructing acoustic radiation, which is derived from statistically optimized near-field acoustical holography (SONAH) and moving frame acoustical holography (MFAH). The theoretical formulation is systematically addressed. This method enables us to visualize the noise generated by moving noise sources and the measurement array can be smaller than the source, which improves the practicability and efficiency of this technology. Numerical simulations are presented to demonstrate the advantages of hybrid NAH. Then, two experiments have been carried out with a line array of hydrophones. The results of simulations and experiments support the proposed theory, which shows the advantage of hybrid NAH in the reconstruction of an acoustic field in an underwater holographic measurement.

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

Access this article

Log in via an institution

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. Maynard J D, Williams E G, Lee Y. Nearfield acoustic holography (NAH): I. Theory of generalized holography and the development of NAH. J Acoust Soc Am, 1985, 78: 1395–1413

    Article  ADS  Google Scholar 

  2. Loyau T, Pascal J C, Gaillard P. Broadband acoustic holography reconstruction from acoustic intensity measurements. I: Principle of the method. J Acoust Soc Am, 1985, 84: 1744–1750

    Article  ADS  Google Scholar 

  3. Kim Y H, Kim S M. An analysis of the sound radiation characteristics of the King Song-Dok bell using cylinder acoustic holography. J Acoust Soc Korea, 1997, 16: 94–100

    Google Scholar 

  4. Langrenne C, Melon M, Garcia A. Boundary element method for the acoustic characterization of a machine in bounded noisy environment. J Acoust Soc Am, 2007, 121: 2750–2757

    Article  ADS  Google Scholar 

  5. Hald J. Patch near-field acoustic holography using a new statistically optimal method. In: Proceedings of INTER-NOISE 2003. 2003, 2203–2210

  6. Hald J. Basic theory and properties of statistically optimized nearfield acoustical holography. J Acoust Soc Am, 2009, 125: 2105–2120

    Article  ADS  Google Scholar 

  7. Cho Y T, Bolton J S. Source visualization by using statistically optimized near-field acoustical holography in cylindrical coordinates. J Acoust Soc Am, 2005, 118: 2355–2364

    Article  ADS  Google Scholar 

  8. Li W B, Chen J, Bi C X, et al. Statistically optimal spherical near-field acoustical holography for noise source identification. J Vib Eng, 2004, 17: 958–961

    Google Scholar 

  9. Jacobsen F, Jaud V. Statistically optimized near field acoustic holography using an array of pressure-velocity probes. J Acoust Soc Am, 2007, 121: 1550–1558

    Article  ADS  Google Scholar 

  10. Jacobsen F, Virginie J. Statistically optimized near field acoustic holography based on particle velocity measurements. In: Proceedings of the 13th International Congress on Sound and Vibration, Vienna, Austria, 2006

  11. Ruhala R J, Swanson D C. Planar near-field acoustical holography in a moving medium. J Acoust Soc Am, 2002, 112: 420–429

    Article  ADS  Google Scholar 

  12. Yang D G, Luo Y G, Zheng S F. Research on the noise source of the moving vehicle. Automobile Eng, 2003, 10: 20–25

    Google Scholar 

  13. Wu S F. Hybrid near-field acoustic holography. J Acoust Soc Am, 2004, 115: 207–217

    Article  ADS  Google Scholar 

  14. Zhao X, Wu S F. Reconstruction of vibroacoustic fields in half space by using hybrid near-field acoustical holography. J Acoust Soc Am, 2005, 117: 555–565

    Article  ADS  Google Scholar 

  15. Hu B, Yang D S, Sun Y. Underwater hybrid near-field acoustical holography based on measurement of vector hydrophone array. Sci China Phys Mech Astron, 2010, 35: 1073–1079

    Article  ADS  Google Scholar 

  16. Bi C X, Chen X Z, Xu L, et al. Patch nearfield acoustic holography based on the equivalent source method. Sci China Ser E-Tech Sci, 2007, 37: 1205–1213

    Google Scholar 

  17. Zhao X, Wu S F. Reconstruction of vibro-acoustic fields using hybrid nearfield acoustic holography. J Sound Vib, 2005, 282: 1183–1199

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin, 150001, China

    Bo Hu, DeSen Yang, ShengGuo Shi & Yu Sun

Authors
  1. Bo Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. DeSen Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. ShengGuo Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yu Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bo Hu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hu, B., Yang, D., Shi, S. et al. Underwater moving noise source identification based on hybrid near-field acoustical holography. Sci. China Phys. Mech. Astron. 54, 1570 (2011). https://doi.org/10.1007/s11433-011-4421-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11433-011-4421-y

Keywords

Search

Navigation