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

2019 ◽  
Vol 11 (10) ◽  
pp. 2970 ◽  
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.

scholarly journals Failure monitoring in water distribution networks

2006 ◽  
Vol 53 (4-5) ◽  
pp. 503-511 ◽  
Author(s):  
D. Misiunas ◽  
J. Vítkovský ◽  
G. Olsson ◽  
M. Lambert ◽  
A. Simpson
Keyword(s):  
Flow Rate ◽  
Distribution Systems ◽  
Water Distribution ◽  
Design Procedure ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Pressure Monitoring ◽  
Burst Detection ◽  
Inlet Flow Rate ◽  
Failure Monitoring

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.

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

2020 ◽  
Vol 56 (5) ◽  
Author(s):  
Weirong Xu ◽  
Xiao Zhou ◽  
Kunlun Xin ◽  
Joby Boxall ◽  
Hexiang Yan ◽  
...  
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Pressure Measurements ◽  
Burst Detection

scholarly journals Burst detection and location in water distribution networks

2005 ◽  
Vol 5 (3-4) ◽  
pp. 71-80 ◽  
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.

scholarly journals Multivariate analysis of the pressure variation in intermittent water supply systems and the impact ondemand satisfaction

2021 ◽  
Author(s):  
Jesús Rubén Sánchez-Navarro ◽  
David H. Sánchez ◽  
Carmen J. Navarro-Gómez ◽  
Eduardo Herrera Peraza
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Pressure Sensors ◽  
Principal Component ◽  
Distribution Networks ◽  
Water Supply Systems ◽  
Multivariate Statistical ◽  
Drinking Water Distribution Systems ◽  
Time Required ◽  
The Impact

Abstract In intermittent drinking water distribution systems, large volumes of the water are wasted due to leaks in the distribution networks. Similarly, user service is not always satisfied in the time required to fill the storage, nor with sufficient pressure. Hence the importance of this study. Measuring the variability of pressure in the distribution network and determining the factors that influence the definition of a sufficient minimum hours of service, is a first step to change to a continuous service 24/7, in order to minimize the volumes of lost water and meet demand. 347 pressure sensors were placed in a network to detect changes in pressure and obtain data for three years. This study presents a new approach to determine the operating policy of the operating agency that provides the service intermittently. Two objectives are pursued: pressure variability – to minimize Leaks – and define the minimum hours of service. The analysis was performed using multivariate statistical techniques, including Principal Component Analysis, Correlation Matrix and ANOVA's, to explore the association between objectives. The results obtained show that the pressure distribution has a Gaussian behavior and that the hours of service has a Poisson distribution.

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