Matched-field processing for leak localization in a viscoelastic pipe: An experimental study

Wang, Xun; Lin, Jingrong; Keramat, Alireza; Ghidaoui, Mohamed Salah; Meniconi, Silvia; Brunone, Bruno

doi:10.1016/j.ymssp.2019.02.004

Cited by 73 publications

(42 citation statements)

References 44 publications

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“…The problem of identifying leaks in water supply pipelines has been an active area of both research and technology development since the 1990s. The frequency domain leakage detection method has increasingly become a topic of research and has application potential in a wide range of systems (Chaudhry 1987;Jönsson and Larson 1992;Mpesha et al 2001;Ferrante and Brunone 2003;Covas et al 2005;Lee et al 2005a, b;Sattar and Chaudhry 2010;Duan et al 2011;Rubio Scola et al 2016;Wang and Ghidaoui 2018a, b;Wang et al 2019). However, debate remains on whether a leak in a pipeline gives rise to normal-mode frequency (resonant frequency) shift and additional peaks in the frequency response function (FRF).…”

Section: Introductionmentioning

confidence: 99%

Theoretical Investigation of Leak’s Impact on Normal Modes of a Water–Filled Pipe: Small to Large Leak Impedance

2019

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Recent research shows the potential of resonant frequency-based leakage detection methods. However, there is a disagreement in whether a leak shifts the normal modes (often called natural or resonant modes) and whether a leak introduces additional peaks to the frequency response function (FRF) of the pipeline. In this paper, the impact of a leak on the normal modes is investigated. The trajectories of normal modes in the frequency complex plane with varying leak size are studied. The key parameter that represents the leak size and controls the trajectories of the normal modes is the ratio of the acoustic impedance of the pipe to the resistance impedance of the leak. It is found that, as the impedance ratio increases from zero (i.e., no leak), each normal mode shifts toward the upper-half complex plane of frequency by a leak, where the imaginary part is a measure of the leak-induced damping of the wave. When the impedance ratio is less than the order of one, the leak-induced normal-mode frequency shift is negligible, which supports the theory put forward by proponents of the no-shift and no-additional-peak hypothesis. When the impedance ratio is of the order of one or larger, not only is the shift of the FRF's peak significant, but also new peaks appear, which supports the theory raised by proponents of the leak-induced additional peaks hypothesis.

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Section: Introductionmentioning

confidence: 99%

Theoretical Investigation of Leak’s Impact on Normal Modes of a Water–Filled Pipe: Small to Large Leak Impedance

2019

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“…Through the adaptive selection algorithm of sensitive mode components in section 3.2, the non-dispersive modes with high SNR can be selected and reconstructed as two new signals x 1 (t) and x 2 (t). Finally, the time-delay τ of two new reconstructed signals can be estimated by cross-correlation analysis and then the distance d 1 between sensor 1 and leak point can be calculated using the known distance d and propagation speed c, according to equation (2). The distance d can be measured in advance and the propagation speed c of non-dispersive s = 1 mode can be calculated using theoretical model [35]:…”

Section: The Procedures Of Pds-vmd Based Leak Location Methodsmentioning

confidence: 99%

“…Leakage in water-supply pipelines results in economic losses from water wastage and serves as a health risk since leaks are potential entry points for contaminants during low pressure intrusion events [1]. Hence, it is necessary to conduct research on leak location for WSP to guarantee safe and reliable operation of WSP [2]- [4]. So far, much research has been conducted for leak detection and location methods in WSP.…”

Section: Introductionmentioning

confidence: 99%

Leak Location Based on PDS-VMD of Leakage-Induced Vibration Signal Under Low SNR in Water-Supply Pipelines

Xia

Cheng

et al. 2020

IEEE Access

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Leak location in water-supply pipelines is of great significance in order to preserve water resources and reduce economic losses. Cross-correlation (CC) based leak location is a popular and effective method in water-supply pipelines (WSP). However, with a decrease of signal to noise ratio (SNR), the errors of time-delay estimation (TDE) based on CC will become larger making it almost impossible to determine a leakage position. Hence, this work proposes leak location based on a combination of phase difference spectrum and variational mode decomposition (PDS-VMD) of leakage-induced vibration signal under low SNR for WSP. Firstly, the leakage-induced vibration signal is decomposed into several intrinsic mode functions (IMFs) by VMD, where the characteristic frequency band is determined by PDS of cross spectrum of two leakage signals. Then, the energy ratio of leakage signal in characteristic frequency band serves as a guideline to select effective IMF components from the decomposed IMFs. Finally, the selective IMFs are reconstituted into a new signal which can be used to determine a leak position using CC based TDE. In order to verify the effectiveness of the proposed leak location algorithm, the method based on PDS-VMD is compared with that using CC, combination of CC coefficient and VMD (CCC-VMD) using both simulation and experiment. The simulation and experimental results demonstrate that the proposed PDS-VMD method is more suitable for leak location in WSP, which provides immunity to both broadband and narrow band noise under low SNR. INDEX TERMS VMD, cross-spectral analysis, leakage location, low SNR, water supply pipeline.

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“…Those technologies include software-based methods, such as volume-balance method, negative pressure wave method, transient model method, and hardware-based methods, such as distributed optical fiber method and acoustic emission (AE) method. 4,5 Among them, transient pressure wave-based methods were exploited to detect and locate faults and leakages on different types of water pipes, [6][7][8][9] and it was used to settle multidefects detection and complex pipeline connection situations. 10,11 But the pressure peaks can potentially damage the pipes.…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of gas leak detection in screw thread connections of galvanized pipe based on acoustic emission and neural network

Gong

Song

2019

Struct Control Health Monit

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Summary Galvanized steel pipes with screw thread connections are widely used in the household part of urban gas distribution system. For such pipes, leakages usually occur at the connections as opposed to the pipe bodies. A leak detection method has been proposed for galvanized steel pipes on the basis of acoustic emission (AE) and neural network. From the viewpoint of engineering application, this work conducts a thorough experimental investigation on the efficiency, accuracy, and applicability conditions of the method. An experimental platform consisting of one trunk pipe and three branch pipes with different diameters is set up to simulate the various leak scenarios. After feature extraction and analysis of the AE signals, a classifier on the basis of back propagation neural network is built for gas leak identification. The applicability of the classifier is investigated quantitatively considering different pipe diameters, number of connections, and leak rate. It validates that the proposed leak detection model can achieve an average accuracy above 95% of the leak with flow above 0.052 L/s on the trunk pipe, on the premise that the signals pass through no more than four screw thread connections. Then, the leak with flow above 0.1 L/s on branch pipes can be detected under the same sensor arrangement.

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Matched-field processing for leak localization in a viscoelastic pipe: An experimental study

Cited by 73 publications

References 44 publications

Theoretical Investigation of Leak’s Impact on Normal Modes of a Water–Filled Pipe: Small to Large Leak Impedance

Theoretical Investigation of Leak’s Impact on Normal Modes of a Water–Filled Pipe: Small to Large Leak Impedance

Leak Location Based on PDS-VMD of Leakage-Induced Vibration Signal Under Low SNR in Water-Supply Pipelines

Experimental validation of gas leak detection in screw thread connections of galvanized pipe based on acoustic emission and neural network

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