DOI QR코드

DOI QR Code

Cavitation Noise Detection Method using Continuous Wavelet Transform and DEMON Signal Processing

연속 웨이브렛 변환 및 데몬 신호처리를 이용한 캐비테이션 소음 검출 방법

  • Lee, Hee-chang (The 6th Research and Development Institute, Agency for Defense Development) ;
  • Kim, Tae-hyeong (The 6th Research and Development Institute, Agency for Defense Development) ;
  • Sohn, Kwon (The 6th Research and Development Institute, Agency for Defense Development) ;
  • Lee, Phil-ho (The 6th Research and Development Institute, Agency for Defense Development)
  • 이희창 (국방과학연구소 제6기술연구본부) ;
  • 김태형 (국방과학연구소 제6기술연구본부) ;
  • 손권 (국방과학연구소 제6기술연구본부) ;
  • 이필호 (국방과학연구소 제6기술연구본부)
  • Received : 2016.12.05
  • Accepted : 2017.06.16
  • Published : 2017.08.05

Abstract

Cavitation is a phenomenon caused by vapour cavities that is produced in rapid pressure changes. When the cavitation happened, the sound pressure level of a underwater radiated noise is increased rapidly. As a result, it can increase the probability of the identification or classification of a our warship's acoustic signature by an enemy ship. However, there is a problem that it is hard to precisely detect the occurrence of a cavitation noise. Therefore, this paper presents recent improvements in terms of the cavitation noise measurement by using continuous wavelet transform and DEMON(Detection of Envelope Modulation on Noise) signal processing. Then, we present that the suggested scheme is more suitable for detecting the cavitation than existing algorithms.

Keywords

References

  1. B. Ahn, C. Lee, Y. Yu and I. Moon, “Prediction of the Propeller Face Cavity Inception and Experimental Verification,” Journal of the Society of Naval Architects of Korea, Vol. 44, No. 5, pp. 467-473, 2007. https://doi.org/10.3744/SNAK.2007.44.5.467
  2. P. Lee, B. Ahn, C. Lee and J. Lee, “An Experimental Study on Noise Characteristics of Propeller Cavitation Inception,” Journal of the Society of Naval Architects of Korea, Vol. 48, No. 1, pp. 1-7, 2011. https://doi.org/10.3744/SNAK.2011.48.1.1
  3. R. Urick, Principle of Underwater Sound, Peninsula Publishing, pp. 334-340, 2010.
  4. R. Nielsen, Sonar Signal Processing, Artech House, 1991.
  5. M. Cheong, S. Hwang, S. Lee and J. Kim, “Multiband Enhancement for DEMON Processing Algorithms,” Journal of the Acoustical Society of Korea, Vol. 32, No. 2, pp. 138-146, 2013. https://doi.org/10.7776/ASK.2013.32.2.138
  6. J. Lim, W. Hong and Y. Pyeon, “Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure,” Journal of Korea Information and Communications Society, Vol. 39B, No. 8, pp. 538-543, 2014. https://doi.org/10.7840/kics.2014.39B.8.538
  7. J. Kim, S. Hwang and C. Lee, “A DEMON Processing Robust to Interference of Tonals,” Journal of the Acoustical Society of Korea, Vol. 31, No. 6, pp. 384-390, 2012. https://doi.org/10.7776/ASK.2012.31.6.384
  8. S. Li and D. Yang, "DEMON Feature Extraction of Acoustic Vector Signal based on 3/2-D Spectrum," Proc. 2nd IEEE Conf. Industrial Electronics and Applications(ICIEA), 2239-2243, 2007.
  9. S. Lee and D. Yoon, Introduction to the Wavelet Transform, Jinhan Books Inc, pp. 7-21, 2003.
  10. S. Lee, K. Park and J. Suh, “Modeling of the Time-frequency Auditory Perception Characteristics Using Continuous Wavelet Transform,” Journal of the Acoustical Society of Korea, Vol. 20, No. 8, pp. 81-87, 2001.
  11. L. Debnath, Wavelets and Signal Processing, Springer Science, pp. 16-17, 2003.
  12. J. Sim, “Hierarchical Optimal Control of Non-linear Systems using Fast Haar Wavelet Transform,” International Journal of Research Institute of Industrial Science and Technology, Vol. 7, No. 1, pp. 101-113, 2002.
  13. C. Lee, J. Han, J. Kim and B. Ahn, “Propeller Tip Vortex Cavitation Control Using Water Injection,” Journal of the Society of Naval Architects of Korea, Vol. 47, No. 6, pp. 770-775, 2010. https://doi.org/10.3744/SNAK.2010.47.6.770