Robust Acoustical Gas Leak Detection in the Presence of Correlated, Uncorrelated and Impulsive Noises, Using Wavelet-Based Optimized Residual Complexity
Source abstract
Abstract
Leak detection based on acoustic emission needs robust time delay estimation in the presence of various types of noise. Considering several aspects of leakage signal and noise, the present work introduces wavelet based optimized residual complexity (WORC), in order to minimize the probability of false alarms in the presence of correlated, uncorrelated, and impulsive noise. The proposed method utilizes two approaches simultaneously. First, it optimizes residual complexity “for robustness against both correlated and uncorrelated noise”, then it employs wavelet basis in order to reduce the complexity of mixture of correlated and impulsive noise. In order to compare the resolution and percentage of false alarms of WORC with those of optimized residual complexity and cross correlation, we used both experimental and simulated leakage signals of a gas pipe. The results demonstrate the superiority of WORC in term of robustness in the presence of correlated, uncorrelated, and impulsive noise.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Water Systems and Optimization · Image and Signal Denoising Methods · Flow Measurement and Analysis
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References (38)
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1. Murvay, P.S., Silea, I.: A survey on gas leak detection and localization techniques. J. Loss Prev. Process Ind. 256, 966–973 (2012)10.1016/j.jlp.2012.05.010 ↗
2. Fuchs, H.V., Riehle, R.: Ten years of experience with leak detection by acoustic signal analysis. Appl. Acoust. 33(1), 1–19 (1991)10.1016/0003-682X(91)90062-J ↗
3. Xu, Q., Zhang, L., Liang, W.: Acoustic detection technology for gas pipeline leakage. Process Saf. Environ. Prot. 91(4), 253–261 (2012)10.1016/j.psep.2012.05.012 ↗
4. Meng, L., Yuxing, L., Wuchang, W., Juntao, F.: Experimental study on leak detection and location for gas pipeline based on acoustic method. J. Loss Prev. Process Ind. 25(1), 90–102 (2012)10.1016/j.jlp.2011.07.001 ↗
5. Ahmadi, A.M., Amjadi, A., Bahrampour, A.R., Ravanbod, H., Toufighi, S.: Acoustical gas leak detection in the presence of multi-reflection, dispersion, and Gaussian noise using optimized residual complexity. J. Acoust. Soc. Am. 140, 1817 (2016). doi: 10.1121/1.496248210.1121/1.4962482 ↗
6. Zha, D., Qiu, T.: Underwater sources location in non-Gaussian impulsive noise environments. Digit. Signal Process. 16(2), 149–163 (2006)10.1016/j.dsp.2005.04.008 ↗
7. Wang, X.D., Poor, H.V.: Robust multiuser detection in non-Gaussian channels. IEEE Trans. Signal Proces. 47(2), 289–305 (1999)10.1109/78.740103 ↗
8. Roche, A., Malandain, G., Ayache, N.: Unifying maximum likelihood approaches in medical image registration. Int. J. Imaging Syst. Technol. 11, 71–80 (2000). doi: 10.1002/(SICI)1098-1098(2000)11:1<71::AID-IMA8>3.0.CO;2-510.1002/(SICI)1098-1098(2000)11:1%3c71::AID-IMA8%3e3.0.CO;2-5 ↗
9. Myronenko, A., Song, X.: Intensity-based image registration by minimizing residual complexity. IEEE Trans. Med. Imaging 29(11), 1882–1891 (2010)10.1109/TMI.2010.2053043 ↗
10. Mostafapour, A., Davoodi, S.: Leakage locating in underground high pressure gas pipe by acoustic emission method. J. Nondestr. Eval. 32(2), 113–123 (2013)10.1007/s10921-012-0158-4 ↗
11. Long, R., Cawley, P., Lowe, M.: Acoustic wave propagation in buried iron water pipes. Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci. 459(2039), 2749–2770 (2003)10.1098/rspa.2003.1148 ↗
12. Baik, K., Jiang, J., Leighton, T.G.: Acoustic attenuation, phase and group velocities in liquid-filled pipes: theory, experiment, and examples of water and mercury. J. Acoust. Soc. Am. 128(5), 2610–2624 (2010)10.1121/1.3495943 ↗
13. Mostafapour, A., Davoodi, S.: Modeling acoustic emission signals caused by leakage in pressurized gas pipe. J. Nondestr. Eval. 32(2), 67–80 (2013)10.1007/s10921-012-0158-4 ↗
14. Nikias, C.L., Pan, R.: Time delay estimation in unknown Gaussian spatially correlated noise. IEEE Trans. Acoust. Speech Signal Proces. 36(11), 1706–1714 (1988)10.1109/29.9008 ↗
15. Jiang, X., Kirubarajan, T., Zeng, W.J.: Robust time-delay estimation in impulsive noise using p-correlation. Meas. Sci. Technol. 17(2), 1–4 (2013)
16. Huseynov, J., Baliga, S., Dillencourtl, M., Bic, L., & Bagherzadeh, N.: Gas-leak localization using distributed ultrasonic sensors. In: SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring International Society for Optics and Photonics, vol. 7293, pp. 72930Z1–72930Z18 (2009)10.1117/12.812058 ↗
17. Liu, M., Zang, S., Zhou, D.: Fast leak detection and location of gas pipelines based on an adaptive particle filter. Int. J. Appl. Math. Comput. Sci. 15(4), 541–550 (2005)
18. Yoon, D.B., Park, J.H., Shin, S.H.: Improvement of cross-correlation technique for leak detection of a buried pipe in a tonal noisy environment. Nucl. Eng. Technol. Int. J. Korean Nucl. Soc. 44(8), 977–984 (2012)
19. Li, S., Wen, U., Li, P., Dong, X., Mu, Y.: Leak location in gas pipelines using cross-time frequency spectrum of leakage-induced acoustic vibrations. J. Sound Vib. 333(17), 3889–3903 (2014)10.1016/j.jsv.2014.04.018 ↗
20. Kim, E.Y., Kim, M.S., Lee, S.K.: Identification of the impact location in a gas duct system based on acoustic wave theory and the time frequency. Exp. Mech. 51(6), 947–958 (2011)10.1007/s11340-010-9382-y ↗
21. Rewerts, L.E., Roberts, R.R., Clark, M.A.: Dispersion compensation in acoustic emission pipeline leak location. Rev. Prog. Quant. Nondestr. Eval. 16, 427–434 (1997)10.1007/978-1-4615-5947-4_57 ↗
22. Gao, J., Brennan, M.J., Joseph, P.F., Muggleton, J.M., Hunaidi, O.: A model of the correlation function of leak noise in buried plastic pipes. J. Sound Vib. 277(2), 133–148 (2003)
23. Vesaghi, S.: Advanced Digital Signal Processing and Noise Reduction, Chapter 18. Wiley, Oxford (2008)10.1002/9780470740156 ↗
24. Chung, I.H., Kim, K.H.: Asymptotic properties of the one-step m-estimators in nonlinear regression model. Commun. Korean Math. Soc. 7(2), 293–306 (1992). http://mathnet.or.kr/mathnet/kms_content.php?no=289399
25. Huber, P.J.: Robust Statistics. Wiley, New York (1981)10.1002/0471725250 ↗
26. Zayyani, H., Babaie-Zadeh, M.: An iterative bayesian algorithm for sparse component analysis in the presence of noise. IEEE Trans. Signal Proces. 57(11), 4378–4390 (2009)10.1109/TSP.2009.2025154 ↗
27. Ghaffari, A., Fatemizadeh, E.: Robust Huber similarity measure for image registration in the presence of spatially-varying intensity distortion. Signal Proces. 109, 54–68 (2015)10.1016/j.sigpro.2014.10.022 ↗
28. Ghaffari, A., Fatemizadeh, E.: Sparse-induced similarity measure: mono-modal image registration via sparse-induced similarity measure. IET Image Proces. 8(12), 728–741 (2014)10.1049/iet-ipr.2013.0575 ↗
29. Donoho, D.L., Johnstone, J.M.: Ideal spatial adaptation by wavelet shrinkage. Biometrika 81(3), 425–455 (1994)10.1093/biomet/81.3.425 ↗
30. Mallat, S.: A Wavelet Tour of Signal Processing, Chapters 1 and 12, 3rd edn, p. 105. Academic Press, Chicago (2009)
31. Gao, J., Gao, Y., Tung, W., Hu, J.: Multiscale Analysis of Complex Time Series: Integration of Chaos and Random Fractal, pp. 64–65. Wiley, New York (2007)10.1002/9780470191651 ↗
32. Almeida, F., Brennan, M., Joseph, P., Whitfield, S., Dray, M., Paschoalini, A.: On the acoustic filtering of the pipe and sensor in a buried plastic water pipe and its effect on leak detection: an experimental investigation. Sensors 14(3), 5595–5610 (2014)10.3390/s140305595 ↗
33. Moldover, M.R., Mehl, J.B., James, B., Martin, M.: Gas-filled spherical resonators: theory and experiment. J. Acoust. Soc. Am. 79(2), 253–272 (1998)10.1121/1.393566 ↗
34. Crocker, M.J.: Handbook of Acoustics. Wiley, New York (1998)
35. Georgiou, P., Tsakalides, P., Kyriakakis, C.: Alpha-stable modeling of noise and robust time-delay estimation in the presence of impulsive noise. IEEE Trans. Multimed. 1(3), 291–301 (1999)10.1109/6046.784467 ↗
36. Chambers, J.M., Mallows, C.L., Stuck, B.W.: A method for simulating stable random variables. J. Am. Stat. Assoc. 71(354), 340–344 (1976)10.1080/01621459.1976.10480344 ↗
37. Weron, A., Weron, R.: Computer Simulation of Lévy $$\alpha $$ α -Stable Variables and Processes, vol. 457. Springer, Berlin (1995)
38. Jiang, X., Kirubarajan, T., Zeng, W.J.: Robust sparse channel estimation and equalization in impulsive noise using linear programming. Signal Proces. 93, 1095–1105 (2013)10.1016/j.sigpro.2012.11.030 ↗