Usage and Effect of Multiple Transient Tests for Pipeline Leak Detection

Wang, Xun; Lin, Jingrong; Ghidaoui, Mohamed Salah

doi:10.1061/(asce)wr.1943-5452.0001284

Cited by 27 publications

(13 citation statements)

References 62 publications

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“…In practice, however, this assumption does not always hold. Especially, the viscoelastic parameters J and τ , which do not have a rigorous physical meaning but jointly simulate the mechanical behavior of pipe wall viscoelasticity by means of a combination of conceptual elements, are proven to have strong interdependence (Wang, Lin, Ghidaoui, Meniconi, Brunone, 2020). In this section, the viscoelastic parameters J and τ are assumed to be correlated.…”

Section: Resultsmentioning

confidence: 99%

“…In viscoelastic pipes, the wave speed is time‐dependent, as the viscoelastic effect (retarded strain) grows with time (Wang, Lin, Ghidaoui, Meniconi, Brunone, 2020). The elastic component of wave speed, which corresponds to the immediate response of pipe to transient wave, has the theoretical expression Equation (cf.…”

Section: Experimental Study Of Pipe System Uncertaintiesmentioning

confidence: 99%

“…The viscoelasticity depends on the temperature, humidity, stress time history, and pipe constraints, therefore cannot be predicted by mechanical tests on pipe samples (Covas et al., 2004). Alternatively, the VEPs can be estimated by matching the transient measurement with its theoretical model, which incorporates the viscoelasticity via the generalized Kelvin‐Voigt (K‐V) model (Covas et al., 2005; Ferrante & Capponi, 2018; Keramat & Haghighi, 2014; Pan et al., 2020, 2021; Pezzinga et al., 2016; Soares et al., 2008; Wang, Lin, Ghidaoui, Meniconi, Brunone, 2020; Weinerowska‐Bords, 2015; Yao et al., 2016). Here, the VEP estimation is performed by the method in (Wang, Lin, Ghidaoui, Meniconi, Brunone, 2020), which is applicable even when unknown defects exist and uses only the first seven steady‐state crossing times (instead of the full signal).…”

Section: Experimental Study Of Pipe System Uncertaintiesmentioning

confidence: 99%

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Uncertainty Quantification and Global Sensitivity Analysis for Transient Wave Propagation in Pressurized Pipes

Wang

2021

Water Resources Research

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Several approaches have been attempted for more systematical uncertainty quantification (UQ) of pipeline transient wave propagation. Considering the uncertainties on pre-transient (steady-state) pressure or flow velocity, the polynomial chaos expansion (PCE; Sattar & El-Beltagy, 2017) and the method of distributions (Alawadhi et al., 2018) are respectively employed to model the uncertainties of transient pressure. However, the methodologies in (Alawadhi et al., 2018; Sattar & El-Beltagy, 2017) use, explicitly or implicitly, the property that the transient wave varies linearly with the steady-state pressure and flow velocity, thus cannot

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Section: Resultsmentioning

confidence: 99%

Section: Experimental Study Of Pipe System Uncertaintiesmentioning

confidence: 99%

Section: Experimental Study Of Pipe System Uncertaintiesmentioning

confidence: 99%

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Uncertainty Quantification and Global Sensitivity Analysis for Transient Wave Propagation in Pressurized Pipes

Wang

2021

Water Resources Research

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“…Most of existing leak detection methods make use of adaptive thresholds [19], machine learning [20,21], all of which requires sufficient data for training before they can be used for prediction. There are others who use multivariate statistical analysis [22,23] as well. Much of these analytical methods serve www.videleaf.com only to detect the presence of the leaks and not the exact leak location.…”

Section: Introductionmentioning

confidence: 99%

AIN based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

Phua¹,

Rabeek²,

Han³

et al. 2021

Water: Ecology and Management

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electro-mechanical system) are particular useful for IOT applications with low power consumption and small device footprint. Data analytics including characterization, pre/post processing are applied to determine the leaks. In this work, we have developed the process flow and algorithm to detect pipe leakage occurrence and pinpoint the location accurately. Our approach can be implemented to detect leaks for different pipe lengths, diameters and materials.

show abstract

“…Most of existing leak detection methods make use of adaptive thresholds [19], machine learning [20,21], all of which requires sufficient data for training before they can be used for prediction. There are others who use multivariate statistical analysis [22,23] as well. Much of these analytical methods serve only to detect the presence of the leaks and not the exact leak location.…”

Section: Introductionmentioning

confidence: 99%

AIN-Based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

Phua¹,

Rabeek²,

Han³

et al. 2020

Water

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There is an urgent need for industrial Internet of things (IoT) solutions to deploy a smart hydrophone sensor grid to monitor pipeline health and to provide an accurate prediction in the event of any leakage. One solution is to develop an IoT water leakage detection system consisting of an interface to capture acoustic signals from aluminum nitride (AlN)-based micro-machined infrasonic hydrophone sensors that are fed as inputs and predict an approximate leak location as a form of output. Micro-electro-mechanical systems (MEMS) are particularly useful for IoT applications with low power consumption and small device footprint. Data analytics including characterization, pre/post processing are applied to determine the leaks. In this work, we have developed the process flow and algorithm to detect pipe leakage occurrence and pinpoint the location accurately. Our approach can be implemented to detect leaks for different pipe lengths, diameters and materials.

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Usage and Effect of Multiple Transient Tests for Pipeline Leak Detection

Cited by 27 publications

References 62 publications

Uncertainty Quantification and Global Sensitivity Analysis for Transient Wave Propagation in Pressurized Pipes

Uncertainty Quantification and Global Sensitivity Analysis for Transient Wave Propagation in Pressurized Pipes

AIN based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

AIN-Based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

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