An Accelerometer-Based Real-Time Monitoring and Leak Detection System for Pressurized Water Pipelines

Zahab, Samer El; Mosleh, Fadi; Zayed, Tarek

doi:10.1061/9780784479957.025

Cited by 9 publications

(9 citation statements)

References 8 publications

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“…Regression models can be improved by integrating them with artificial intelligence, such that the model can be constantly improved with new data. Additionally, current regression models may acquire further accuracy by considering new characteristics of water networks such as pipeline material, soil type, pipeline age, and water pressure (El-Abbasy et al 2016;El-Zahab et al 2016).…”

Section: Data Analysis Based Methodsmentioning

confidence: 99%

“…According to Hamilton, the location of the leak is said to be within a radius of 30 cm. Furthermore, multiple tools are available for utility in this phase including correlators and microelectromechanical sensors (Hamilton 2009;El-abbasy et al 2014;El-Zahab et al 2016;Martini et al 2015). Finally, the third phase, according to Hamilton, would be pinpointing.…”

Section: Defining Leak Detectionmentioning

confidence: 99%

“…Sensors would pick up any form of signs and signals similar to those of leaks and end up providing false alarms. False alarms create an expenditure of workforce and funds for the bodies monitoring the respective networks (El-Zahab et al 2016;Khulief et al 2012;Stoianov et al 2007aStoianov et al , 2007b. Therefore, a new phase of leak detection is proposed, and that is the identification phase.…”

Section: Pinpointmentioning

confidence: 99%

“…Additionally, forecasting models can learn and progress through time as they incur new information. Forecasting models are usually used with leak detection technologies to develop thresholds and equations that are capable of detecting and locating leaks (El-Abbasy et al 2016;El-Zahab et al 2016;Fahmy and Moselhi 2009;Whittle et al 2010). The fourth most recurring keyword in the dataset is "energy analysis".…”

Section: Progress In Leak Detection Researchmentioning

confidence: 99%

See 3 more Smart Citations

Leak detection in water distribution networks: an introductory overview

El-Zahab¹,

Zayed

2019

Smart Water

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143

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Leaks in resource transmission pipelines is a growing concern for the water transmission industry. This creates a need to prevent the threat of leaks and minimize their damages through extensive research in leak detection technology. This research work provides a thorough investigation into the history of leak detection in pipelines by surveying the web of knowledge database and visualizing the outputs using visualization software VOSviewer and CiteNetExplorer. The analysis of the web of knowledge output presents a set of the ten most used keywords in the field of leak detection in pipelines that are further described and analyzed. Additionally, in-depth analysis of a randomly selected sample of papers was conducted to draw a sense of the progress in the industry over the past four decades. This article also defines a novel approach to define the leak detection phases, i.e., the identify-localize-pinpoint approach. Furthermore, two classes of leak detection systems are identified, static leak detection systems and dynamic leak detection systems. The two systems are defined as well as their differentiative capabilities. Finally, this article provides a summary of popular leak detection technologies to provide a broad sense of understanding for the leak detection field of research.

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Section: Data Analysis Based Methodsmentioning

confidence: 99%

Section: Defining Leak Detectionmentioning

confidence: 99%

Section: Pinpointmentioning

confidence: 99%

Section: Progress In Leak Detection Researchmentioning

confidence: 99%

See 2 more Smart Citations

Leak detection in water distribution networks: an introductory overview

El-Zahab¹,

Zayed

2019

Smart Water

Self Cite

143

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“…Many steady-state based methods, such as Acoustic Emissions [11,12] and vibration monitoring [13][14][15][16], were developed for leak detection in the pressurized pipeline. These steady-state vibro-acoustic based methods have been proven to be quite effective in previous studies.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Heuristic Optimization Approach for Leak Detection in Pipe Networks Using Ordinal Optimization Approach and the Symbiotic Organism Search

Lin

2017

Water

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The OOA is applied to sift through the candidate pipes and the initial organisms with leak information. The SOS is employed to determine the leaks by minimizing the sum of differences between simulated and computed head at the observation points. Two synthetic leaking scenarios, a simple pipe network and a water distribution network (WDN), are chosen to test the performance of leak detection ordinal symbiotic organism search (LDOSOS). Leak information can be accurately identified by the proposed approach for both of the scenarios. The presented technique makes a remarkable contribution to the success of leak detection in the pipe networks.

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