Ultrasonic inline inspection of a cement-based drinking water pipeline

Delgadillo, Hector Hernandez; Geelen, Caspar V. C.; Kakes, Rutger; Loendersloot, Richard; Yntema, Doekle; Tinga, Tiedo; Akkerman, Remko

doi:10.1016/j.engstruct.2020.110413

Cited by 7 publications

(2 citation statements)

References 29 publications

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“…A high-quality dataset about the flow and pressure in the pipe network is essential for effective detection. Data such as pressure [48][49][50][51], flow rate [55,56], ultrasonic data [57,58], acoustic emission data [59][60][61], and temperature variability [62,63] have reportedly been used for leak detection purposes. As shown in Fig.…”

Section: Data-driven Approachmentioning

confidence: 99%

Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey

Shabangu,

Hamam,

Jordaan

et al. 2023

JERA

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Water loss poses a significant problem for water utilities and has received a lot of attention. To fulfill the increasing global demand for water, water supply system operations must be streamlined, making leak detection and location crucial. Water utilities have developed a number of techniques over time for finding leaks in water distribution networks (WDNs). These methodologies range from simple visual inspection to the use of hardware systems and now software using models and algorithms. Data from flow or pressure measurements, which are required for the analysis of water networks, is becoming more readily available with the introduction of intelligent sensor devices. Along with the introduction of geographic information systems (GIS) and supervisory control and data acquisition (SCADA) in the water sector, the deployment of model-driven methodologies for leak detection and localization has found extensive use. This paper aims to provide a concise introductory reference for early researchers in the development of a model-based approach for leak detection in WDNs. Thus, a survey of model-based approaches is presented, along with current research trends and applications of model-driven methodologies for leak detection in water supply networks. Several model-driven approaches and research studies for each case are discussed. Some challenges and research gaps are also discussed.

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Section: Data-driven Approachmentioning

confidence: 99%

Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey

Shabangu,

Hamam,

Jordaan

et al. 2023

JERA

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show abstract

“…For this reason, ultrasonic pulse-echo approaches have been utilized extensively in the analysis of thickness and bond quality of pipelines [ 6 ]. For instance, a cement-based drinking water pipeline is monitored inline by the ultrasonic pulse echo method [ 7 ]. However, because of the pipelines being buried deeply, it is impossible to dig out the pipes for thickness detection, which means that the transducers are only placed inside the pipeline and detect the potential cracks.…”

Section: Introductionmentioning

confidence: 99%

A Study on Determining Time-Of-Flight Difference of Overlapping Ultrasonic Signal: Wave-Transform Network

Zhang

et al. 2020

Sensors

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An ultrasonic sensors system is commonly used to measure the wall thickness of buried pipelines in the transportation of oil and gas. The key of the system is to precisely measure time-of-flight difference (TOFD) produced by the reflection of ultrasonic on the inner and outer surfaces of the pipelines. In this paper, based on deep learning, a novel method termed Wave-Transform Network is proposed to tackle the issues. The network consists of two parts: part 1 is designed to separate the potential overlapping ultrasonic echo signals generated from two surfaces, and part 2 is utilized to divide the sample points of each signal into two types corresponding to before and after the arrival time of ultrasonic echo, which can determine the time-of-flight (TOF) of each signal and calculate the thickness of pipelines. Numerical simulation and actual experiments are carried out, and the results show satisfactory performances.

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Self-sensing joints for in-situ structural health monitoring of composite pipes: A piezoresistive behavior-based method

Yao,

Ge,

Wang

et al. 2024

Engineering Structures

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Ultrasonic inline inspection of a cement-based drinking water pipeline

Cited by 7 publications

References 29 publications

Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey

Model-Based Approach for Leak Detection and Localization in Water Distribution Networks: A Literature Survey

A Study on Determining Time-Of-Flight Difference of Overlapping Ultrasonic Signal: Wave-Transform Network

Self-sensing joints for in-situ structural health monitoring of composite pipes: A piezoresistive behavior-based method

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