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Ghazali, M.F.; Beck, S.B.M.; Shucksmith, J.D.; Boxall, J.B.; Staszewski, W.J. (2011)
Publisher: Elsevier
Languages: English
Types: Article
Methods of pressure transient analysis can be seen as a promising, accurate and low-cost tool for leak and feature detection in pipelines. Various systems have been developed by several groups of researchers in recent years. Such techniques have been successfully demonstrated under laboratory conditions but are not yet established for use with real field test data. The current paper presents a comparative study of instantaneous frequency analysis techniques based on pressure transients recorded within a live distribution network. The instantaneous frequency of the signals are analysed using the Hilbert transform (HT), the Normalised Hilbert transform (NHT), Direct Quadrature (DQ), Teager Energy Operator (TEO) and Cepstrum. This work demonstrates the effectiveness of the instantaneous frequency analysis in detecting a leaks and other features within the network. NHT and DQ allowed for the identification of the approximate location of leaks. The performance TEO is moderate, with Cepstrum being the worst performing method. © 2011 Elsevier Ltd. All rights reserved.
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    • [4] J. Lighthill, Waves in Fluids, Cambridge University Press, Cambridge, 2001.
    • [5] S. Burn, D. Desilva, M. Eiswirth, A. Speers, J. Thornton, Pipe leakage- Future challenges and solutions, Pipes wagga wagga Conference, New South Wales, Australia (1999) 1-18.
    • [6] J.A. Liggett, L.-C. Chen, Inverse transient analysis in pipe networks, Journal of Hydraulic Engineering 120 (1994) 934-955.
    • [7] C.P. Liou, Mass imbalance error of waterhammer equations and leak detection, Journal of Fluids Engineering 116 (1994) 103-109.
    • [8] C.P. Liou, Pipeline leak detection by impulse response extraction, Journal of Fluids Engineering, 120 (1998), 833-838.
    • [9] J.P. Vitkovsky´, P.J. Lee, M.L. Stephens, M.F. Lambert, A.R. Simpson, A.R., Leak and blockage detection in pipelines via an impulse response method, in: Proceedings of PEDS (Pumps, Electromechanical Devices and Systems Applied to Urban Water Management), Valencia, Spain 2003.
    • [10] X.-J. Wang, M.F. Lambert, A.R. Simpson, J.A. Liggett, J.P. Vitkovsky´, Leak detection in pipelines using the damping of fluid transients, Journal of Hydraulic Engineering 128 (2002) 697-711.
    • [11] X.-J. Wang, A.R. Simpson, M.F. Lambert, J.P. Vitkovsky´ , J.A. Liggett,Simulation of transients in a looped laboratory pipe network, in: Proceedings of PEDS (Pumps, Electromechanical Devices and Systems Applied to Urban Water Management), Valencia, Spain 2003.
    • [12] W. Mpesha, S.L. Gassmans, M.H. Chaudhry, Leak detection in pipes by frequency response method, Journal Hydraulic Engineering 127 (2001) 134-147.
    • [13] M. Ferrante, B. Brunone, Pipe system diagnosis and leak detection by unsteady-state tests. 2. Wavelet analysis, Advances in Water Resources 26 (2003) 107-116.
    • [14] I. Al-Shidhani, S.B.M. Beck, W.J. Staszewski, Leak monitoring in pipeline networks using wavelet analysis, Key Engineering Materials 245-246 (2003) 51-58.
    • [15] B. Brunone, M. Ferrante, Detecting leaks in pressurised pipes by means of transients, Journal of Hydraulic Research 39 (2001) 539-547.
    • [16] B. Brunone, Transient test based technique for leak detection in outfall pipes, Journal of Water Resources Planning and Management 125(1999) 302-306.
    • [17] B.S. Jung, B.W. Karney, P.F. Boulos, D.J. Wood, The need for comprehensive transient analysis of distribution system, Journal American Water Works Association 99 (2007) 112- 123.
    • [18] S.B.M. Beck, M.D. Curren, N.D. Sims, R. Stanway, Pipeline network features and leak detection by cross-correlation analysis of reflected waves, Journal of Hydraulic Engineering, 131 (2005) 715-723.
    • [19] S.B.M. Beck, J. Foong, W.J. Staszewski, Wavelet and cepstrum analyses of leaks in pipe networks, Progress in Industrial Mathematics at The European Consortium For Mathematics in Industry, ECMI, 8 (2004) 559-563.
    • [20] R.B. Randall, Frequency analysis, 3rd ed., Bruel and Kjaer, Copenhagen, 1987.
    • [21] M. Taghvaei, S.B.M. Beck, W.J. Staszewski, Leak detection in pipelines using cepstrum analysis, Institute of Physics-Measurement Science and Technology, 17 (2006) 367-372. [23] H. Li, X. Deng, H. Dai, Structural damage detection using the combination method of EMD and wavelet analysis, Mechanical Systems and Signal Processing 21 (2007) 298-306.
    • [25] P. Flandrin, G. Rilling, P. Goncalves, Empirical mode decomposition as a filter bank, IEEE Signal Processing Letters 11 (2004) 112-114.
    • [26] W. Bangfeng, C. Renwen, Leakage location system for oil pipeline on basis of stress wave detection, Frontiers of mechanical engineering in China 3 (2008) 307-312.
    • [27] M.F. Ghazali, W. J. Staszewski, J. D. Shucksmith, J. B. Boxall, S. B. M. Beck, Instantaneous phase and frequency for the detection of leaks and features in a pipeline system, in press: Structural Health Monitoring (2010).
    • [33] J.F. Kaiser, On Teager's energy algorithm and its generalization to continuous signals, in: Proc of 4th IEEE Signal Processing Workshop, Mohonk, NY, 1990.
    • [34] M. Taghvaei, S.B.M. Beck, J.B. Boxall, W.J. Staszewski, Leak detection in water distribution pipes using hydrants, in press: Smart Materials and Structures (2009). 204.9 205.2 205.4 205.7 0.44 0.59 0.67 0.83
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