Disturbance Extraction for Burst Detection in Water Distribution Networks Using Pressure Measurements

An algorithm for the burst detection and location in water distribution networks based on the continuous monitoring of the flow rate at the entry point of the network and the pressure at a number of points within the network is presented. The approach is designed for medium to large bursts with opening times in the order of a few minutes and is suitable for networks of relatively small size, such as district metered areas (DMAs). The burst-induced increase in the inlet flow rate is detected using the modified cumulative sum (CUSUM) change detection test. Based on parameters obtained from the CUSUM test, the burst is simulated at a number of burst candidate locations. The calculated changes in pressure at the pressure monitoring points are then compared to the measured values and the location resulting in the best fit is selected as the burst location. The EPANET steady-state hydraulic solver is utilised to simulate the flows and pressures in the network. A sensitivity-based sampling design procedure is introduced to find the optimal positions for pressure monitoring points. The proposed algorithm is tested on a case study example network and shows potential for burst detection and location in real water distribution systems.

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

Sensors ◽

10.3390/s21227551 ◽

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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An IoT system for continuous monitoring and burst detection in intermittent water distribution networks

2018 International Conference on Innovative Trends in Computer Engineering (ITCE) ◽

10.1109/itce.2018.8316632 ◽

2018 ◽

Cited By ~ 2

Author(s):

Mohamed Afifi ◽

Mohamed F. Abdelkader ◽

Atef Ghoneim

Keyword(s):

Continuous Monitoring ◽

Water Distribution ◽

Distribution Networks ◽

Water Distribution Networks ◽

Burst Detection

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An Efficient Burst Detection and Isolation Monitoring System for Water Distribution Networks Using Multivariate Statistical Techniques

Sustainability ◽

10.3390/su11102970 ◽

2019 ◽

Vol 11 (10) ◽

pp. 2970 ◽

Cited By ~ 3

Author(s):

KiJeon Nam ◽

Pouya Ifaei ◽

Sungku Heo ◽

Gahee Rhee ◽

Seungchul Lee ◽

...

Keyword(s):

Water Distribution ◽

Moving Average ◽

Principal Component ◽

Distribution Networks ◽

Water Distribution Networks ◽

Burst Detection ◽

Multivariate Statistical ◽

Sensor Configuration ◽

Conventional Systems ◽

Exponential Weighted Moving Average

Detection and isolation of burst locations in water distribution networks (WDN) are challenging problems in urban management because burst events cause considerable economic, social, and environmental losses. In the present study, a novel monitoring and sensor placement approach is proposed for rapid and robust burst detection. Accordingly, a hybrid principal component analysis (PCA) and standardized exponential weighted moving average (EWMA) system is proposed for WDN monitoring and management. In addition, the optimal sensor configuration is obtained using PCA, k-means clustering, and a sensitivity analysis considering the diurnal patterns and the noises of pressure and flowrate data in the WDN. The proposed system is applied to a branched WDN, and the results are compared to those obtained with conventional monitoring systems. The results show that the proposed system detected the burst occurrence regardless of noise size with a detection rate of 93%. Compared to conventional systems, the isolation ratio improved by 10%, indicating that the bursts were isolated more accurately. In addition, the corresponding sensor configuration was 40% less expensive than the conventional systems.

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Burst detection and location in water distribution networks

Water Science & Technology Water Supply ◽

10.2166/ws.2005.0085 ◽

2005 ◽

Vol 5 (3-4) ◽

pp. 71-80 ◽

Cited By ~ 13

Author(s):

D. Misiunas ◽

M. Lambert ◽

A. Simpson ◽

G. Olsson

Keyword(s):

Distribution Systems ◽

Water Distribution ◽

Distribution Networks ◽

Water Distribution Networks ◽

Test Results ◽

Transient Pressure ◽

Burst Detection ◽

Transient Wave ◽

Arrival Times ◽

Wave Arrival

An algorithm for the detection and location of sudden bursts in water distribution networks combining both continuous monitoring of pressure and hydraulic transient computation is presented. The approach is designed for medium and large bursts that are the result of the sudden rupture of the pipe wall or other physical element in the network and are accompanied by the transient pressure wave that propagates throughout the network. The burst-induced transient wave arrival times and magnitudes measured at two or more points are used to find the location of a burst. The wave arrival times and magnitudes are detected using the modified cumulative sum (CUSUM) change detection test. Results of validation on a real network show the potential of the proposed burst detection and location technique to be used in water distribution systems.

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