Journal ArticleDOI
A review of methods for burst/leakage detection and location in water distribution systems
TLDR
The authors describe the methods for pipe network burst location and detection, summarize the features of each method, and propose a suggestion for future work.Abstract:
The problem of bursts and leakages in water distribution systems has received significantly increased attention over the past two decades. As they represent both an environmental and an economical issue, how to reduce water loss through bursts and leakages is a challenging task for water utilities. Consequently, various techniques have been developed to detect the location and size of leakages. The methods for bursts (or leaks) detection and location can be broadly divided into two main categories, one based on hardware and the other based on software. Hardware-based methods include (i) acoustic detection methods such as listening rods, leak correlators, leak noise loggers and (ii) non-acoustic detection methods such as gas injection, ground penetrating radar technology and infrared photography. Software-based methods make use of the data collected by real-time pressure and/or flow sensors and several artificial intelligence techniques and statistical data analysis tools, including (i) methods based on numerical modeling methods, such as inverse transient analysis, time domain analysis and frequency domain analysis, and (ii) some non-numerical modeling methods, such as artificial neural networks, Bayesian inference systems, the Golden section method, and Kalman filtering. In this article, the authors describe the methods for pipe network burst location and detection, summarize the features of each method, and propose a suggestion for future work.read more
Citations
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Journal ArticleDOI
A review of data-driven approaches for burst detection in water distribution systems
Yipeng Wu,Shuming Liu +1 more
TL;DR: Data-driven approaches for burst detection are promising in real-life burst detection and reducing false alarms is an important issue, but more comprehensive performance evaluation might be necessary, in particular regarding detectable burst size.
Journal ArticleDOI
Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection
TL;DR: This paper attempts to review the current technologies for leakage detection in WDN as well as several proposed intelligent methodologies (such as support vector machine, neural network, and convolution neural network) over the past few years.
Journal ArticleDOI
Burst detection in district metering areas using a data driven clustering algorithm.
TL;DR: The proposed clustering-based method for burst detection in a water distribution system has a low false positive rate compared with previous studies and appearance of detected abnormal water usage consists with weather changes, showing great promise in real application to multi-inlet and multi-outlet DMAs.
Journal ArticleDOI
Transient wave-based methods for anomaly detection in fluid pipes: A review
TL;DR: The main focus of this paper is on the comprehensive review of the technological advances and characteristics of five common types of transient wave-based anomaly detection methods for fluid pipe systems, namely (1) reflection-based method; (2) damping-basedmethod; (3) FRF peak pattern-based methods; (4) time domain full-waveform inversion method; and (5) frequency domain full
Journal ArticleDOI
A review of leakage detection methods for district heating networks
TL;DR: A hybrid LD strategy is proposed to integrate the physical model-based and data-driven methods to adapt different characteristics of the primary network and secondary network with combining SCADA (Supervisory Control and Data Acquisition) monitoring data.
References
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Journal ArticleDOI
A review of methods for leakage management in pipe networks
TL;DR: A comprehensive review of the leakage management related methods developed so far can be broadly classified as follows: (1) leakage assessment methods which are focusing on quantifying the amount of water lost; (2) leakage detection methods that are primarily concerned with the detection of leakage hotspots and (3) leakage control models which are focused on the effective control of current and future leakage levels.
Journal ArticleDOI
Inverse Transient Analysis in Pipe Networks
James A. Liggett,Li-Chung Chen +1 more
TL;DR: In this paper, the adjoint solution of the system (generally easier than the transient analysis) to find gradient data and a Jacobian matrix are used to find a Hessian matrix, which is used in the Levenberg-Marquardt method to adjust parameters so as to minimize the difference between calculated and measured heads.
Journal ArticleDOI
Leak detection in pipelines using the damping of fluid transients
TL;DR: In this paper, the Fourier series is used to detect, locate, and quantitatively quantify a 0.1% size leak with respect to the cross-sectional area of a pipeline, and different damping ratios of various Fourier components are used to find the location of a leak.
Journal ArticleDOI
Leak Detection in Pipes by Frequency Response Method
TL;DR: In this paper, a steady-oscillatory flow, produced by the periodic opening and closing of a valve, is analyzed in the frequency domain by using the transfer matrix method, and a frequency response diagram at the valve is developed.
Journal ArticleDOI
Detecting leaks in plastic pipes
TL;DR: In this paper, the authors found that leaks in plastic pipes could be located using acoustic techniques; however, there were several difficulties, such as the frequency range selected automatically by correlators (or manually by operators) was usually too high.