Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models

2021 ◽  
Author(s):  
Adrià Soldevila ◽  
Giacomo Boracchi ◽  
Manuel Roveri ◽  
Sebastian Tornil-Sin ◽  
Vicenç Puig
Keyword(s):  
Water Distribution ◽  
Expert Knowledge ◽  
Leak Detection ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Data Driven ◽  
Detection And Localization

scholarly journals Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review

2021 ◽  
Vol 4 (1) ◽  
pp. 244-261
Author(s):  
Kabir Ibrahim ◽  
Salman Tariq ◽  
Beenish Bakhtawar ◽  
Tarek Zayed
Keyword(s):  
Fiber Optics ◽  
Water Distribution ◽  
Leak Detection ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Mixed Methodology ◽  
Scientometric Analysis ◽  
Hybrid Techniques ◽  
Water Leak ◽  
Detection And Localization

Abstract This study reviews the state-of-the-art application of fiber optics in water distribution networks for leak detection and localization. The use of fiber optics in the oil and gas sector has been well established; however, its potential in water pipelines is not evident owing to limited research. This study, therefore, presents the research developments of fiber optics in water leak detection and localization using the mixed methodology approach by integrating bibliometric and systematic analyses. A scientometric analysis is carried out to analyze the science maps of (1) journal sources, (2) contributing countries, and (3) co-occurrence of influential keywords. The systematic analysis evaluates the use of eight types of fiber optics, such as accelerometer-based fiber optics and hydrophone-based fiber optics, in water leak detection and localization. The review reveals five important directions for future research such as real network-based studies and the development of hybrid techniques.

scholarly journals Extended-Horizon Analysis of Pressure Sensitivities for Leak Detection in Water Distribution Networks

2012 ◽  
Vol 45 (20) ◽  
pp. 570-575 ◽  
Author(s):  
Myrna Violeta Casillas Ponce ◽  
Luis Eduardo Garza Castañón, ◽  
Vicenç Puig Cayuela
Keyword(s):  
Water Distribution ◽  
Leak Detection ◽  
Distribution Networks ◽  
Water Distribution Networks

scholarly journals Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities

2013 ◽  
Vol 16 (3) ◽  
pp. 649-670 ◽  
Author(s):  
Myrna V. Casillas Ponce ◽  
Luis E. Garza Castañón ◽  
Vicenç Puig Cayuela
Keyword(s):  
Water Distribution ◽  
Real Data ◽  
Leak Detection ◽  
Distribution Networks ◽  
Optimization Method ◽  
Least Square ◽  
Water Distribution Networks ◽  
Sensitivity Matrix ◽  
Model Based ◽  
Leak Detection And Location

In this paper, we propose a new approach for model-based leak detection and location in water distribution networks (WDN), which considers an extended time-horizon analysis of pressure sensitivities. Five different ways of using the leak sensitivity matrix to isolate the leaks are described and compared. The first method is based on the binarization approach. The second, third and fourth methods are based on the comparison of the measured pressure vectors with the leak sensitivity matrix using different metrics: correlation, angle between vectors and Euclidean distance, respectively. The fifth method is based on the least square optimization method. The performance of these methods is compared when applied to two academic small networks (Hanoi and Quebra) widely used in the literature. Finally, the three methods with better performance are applied to a district metering area of the Barcelona WDN using real data.

scholarly journals Robust Data-Driven Leak Localization in Water Distribution Networks Using Pressure Measurements and Topological Information

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7551
Author(s):  
Débora Alves ◽  
Joaquim Blesa ◽  
Eric Duviella ◽  
Lala Rajaoarisoa
Keyword(s):  
Water Distribution ◽  
Pressure Sensors ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Data Driven ◽  
Pressure Measurements ◽  
Leak Pressure ◽  
Flow Measurements ◽  
Topological Information ◽  
Probable Path

This article presents a new data-driven method for locating leaks in water distribution networks (WDNs). It is triggered after a leak has been detected in the WDN. The proposed approach is based on the use of inlet pressure and flow measurements, other pressure measurements available at some selected inner nodes of the WDN, and the topological information of the network. A reduced-order model structure is used to calculate non-leak pressure estimations at sensed inner nodes. Residuals are generated using the comparison between these estimations and leak pressure measurements. In a leak scenario, it is possible to determine the relative incidence of a leak in a node by using the network topology and what it means to correlate the probable leaking nodes with the available residual information. Topological information and residual information can be integrated into a likelihood index used to determine the most probable leak node in the WDN at a given instant k or, through applying the Bayes’ rule, in a time horizon. The likelihood index is based on a new incidence factor that considers the most probable path of water from reservoirs to pressure sensors and potential leak nodes. In addition, a pressure sensor validation method based on pressure residuals that allows the detection of sensor faults is proposed.

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