Smart Structures and Systems

  • 제16권1호
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  • Pages.213-222
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

An improved cross-correlation method based on wavelet transform and energy feature extraction for pipeline leak detection

  • Li, Suzhen (Department of Structural Engineering, Tongji University) ;
  • Wang, Xinxin (Department of Structural Engineering, Tongji University) ;
  • Zhao, Ming (Department of Structural Engineering, Tongji University)
  • 투고 : 2014.01.13
  • 심사 : 2015.01.17
  • 발행 : 2015.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Early detection and precise location of leakage is of great importance for life-cycle maintenance and management of municipal pipeline system. In the past few years, acoustic emission (AE) techniques have demonstrated to be an excellent tool for on-line leakage detection. Regarding the multi-mode and frequency dispersion characteristics of AE signals propagating along a pipeline, the direct cross-correlation technique that assumes the constant AE propagation velocity does not perform well in practice for acoustic leak location. This paper presents an improved cross-correlation method based on wavelet transform, with due consideration of the frequency dispersion characteristics of AE wave and the contribution of different mode. Laboratory experiments conducted to simulate pipeline gas leakage and investigate the frequency spectrum signatures of AE leak signals. By comparing with the other methods for leak location identification, the feasibility and superiority of the proposed method are verified.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Science and Technology of China, National Natural Science Foundation of China

참고문헌

  1. Ahadi, M. and Bakhtiar, M.S. (2010), "Leak detection in water-filled plastic pipes through the application of tuned wavelet transforms to Acoustic Emission signals", Appl. Acoust., 71, 634-639. https://doi.org/10.1016/j.apacoust.2010.02.006
  2. Brunner, A.J. and Barbezat, M. (2006), "Acoustic emission monitoring of leaks in pipes for transport of liquid and gaseous media: a model experiment", Adv. Mater. Res., 13-14, 351-356. https://doi.org/10.4028/www.scientific.net/AMR.13-14.351
  3. Ding, Y., Reuben, R.L. and Steel, J.A. (2004), "A new method for waveform analysis for estimating AE wave arrival times using wavelet decomposition", NDT & E. Int., 37, 279-290. https://doi.org/10.1016/j.ndteint.2003.10.006
  4. Gao, Y., Brennan, M.J., Joseph, P.F., Muggleton, J.M. and Hunaidi, O. (2004), "A model of the correlation function of leak noise in buried plastic pipes", J. Sound Vib., 277(1-2), 133-148. https://doi.org/10.1016/j.jsv.2003.08.045
  5. Gao, Y., Brennan, M.J., Joseph, P.F. (2006), "A comparison of time delay estimators for the detection of leak noise signals in plastic water distribution pipes", J. Sound Vib., 292, 552-570. https://doi.org/10.1016/j.jsv.2005.08.014
  6. Juliano, T., Meegoda, J. and Watts, D. (2013), "Acoustic emission leak detection on a metal pipeline buried in sandy soil", J. Pipeline Syst.Eng.Practice, 4(3), 149-155. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000134
  7. Kosel, T., Grabecfia, I. and Muzic, P. (2000), "Location of acoustic emission sources generated by air flow", J. Ultrasonic, 38(1), 824-826. https://doi.org/10.1016/S0041-624X(99)00079-7
  8. Muggleton, J.M. and Brennan, M.J. (2004), "Leak noise propagation and attenuation in submerged plastic water pipes", J. Sound Vib., 278(3), 527-537. https://doi.org/10.1016/j.jsv.2003.10.052
  9. Sinha, D.N. (2005), Acoustic Sensor for Pipeline Monitoring, Technology Report, Los Alamos National Laboratory, USA.

피인용 문헌

  1. Acoustic emission source location and noise cancellation for crack detection in rail head vol.18, pp.5, 2016, https://doi.org/10.12989/sss.2016.18.5.1063
  2. Field testing on a gas pipeline in service for leak localization using acoustic techniques vol.182, pp.None, 2015, https://doi.org/10.1016/j.measurement.2021.109791