A selective literature review of transient-based leak detection methods

Colombo, Andrew F.; Lee, Pedro; Karney, Bryan W.

doi:10.1016/j.jher.2009.02.003

Cited by 434 publications

(216 citation statements)

References 48 publications

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“…The inverse transient analysis (IWA) method separates water losses in distribution systems into real and apparent losses. Real losses (leakage) from pipelines or pipe networks may not only cause large economic loss, but can also affect environmental hygiene [4,5]. Leaks may create serious water quality problems, resulting in equipment failure, problematic operations management, errors in pipeline design, and significant costs [4,[6][7][8][9][10].…”

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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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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“…Internal methods use continuously monitored data to infer the position of leaks using models. Many techniques can be found in literature [ (Liggett and Chen 1994); (Vítkovský et al 2000); (Kim 2005); (Colombo et al 2009)]. All of these techniques are based on transient analysis, which is mainly used on single, grounded pipelines due to the high effect of the system uncertainty on results.…”

Section: Introductionmentioning

confidence: 99%

Leak Detection and Localization through Demand Components Calibration

Sanz

Pérez

Kapelan

et al. 2016

J. Water Resour. Plann. Manage.

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The success in the application of any model-based methodology (e.g. design, control, supervision) highly depends on the availability of a well calibrated model. The calibration in water distribution networks needs to be performed online due to the continuous evolution of demands. During the calibration process, background leakages or bursts can be unintentionally incorporated to the demand model and treated as a system evolution (change in demands). This work proposes a leak detection and localization approach to be coupled with a calibration methodology that identifies geographically distributed parameters. The approach proposed consists in comparing the calibrated parameters with their historical values to assess if changes in these parameters are caused by a system evolution or by the effect of leakage. The geographical distribution allows to associate an unexpected behavior of the calibrated parameters (e.g. abrupt changes, trends, etc.) to a specific zone in the network. The performance of the methodology proposed is tested on a real water distribution network using synthetic data. Tested scenarios include leaks occurring at different locations and ranging from 2.5% to 13% of the total consumption. Leakage is represented as pressure-dependent demand simulated as emitter flows at the network nodes. Results show that even considering a low number of sensors, leaks with an effect on parameters higher than the parameters' uncertainty can be correctly detected and located within 200 meters.

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“…the existing internal methods, whose review might be found in the papers [4,10,11,17,19], on their own are not able to fulfill all mentioned above diagnostic tasks. their utility is limited to certain, defined operational pipeline's states and leaks' characteristics.…”

Section: Introductionmentioning

confidence: 99%

Possible leakage detection level in transmission pipelines using improved simplified methods

Ostapkowicz¹,

Bratek²

2016

EiN

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(*) tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Introductionliquid transmission pipelines may suffer from damages, which might result in leakages. therefore, leak detection system (lds) is an indispensable equipment of a pipeline installation. the main purpose of such system is to detect, locate, as well as determine the magnitude of occurred leak.Most popular lds are developed with the use of diagnostic methods, which are based on measurements of internal flow parameters, i.e. flow rate, pressure and fluid temperature. in the literature such methods are called internal (analytical, indirect) methods [2,11,17].the implementation of leak diagnosis process is a rather complex issue. the existing internal methods, whose review might be found in the papers [4, 10,11,17,19], on their own are not able to fulfill all mentioned above diagnostic tasks. their utility is limited to certain, defined operational pipeline's states and leaks' characteristics. thus, elaboration of effective and reliable lds requires applying of at least several internal methods working concurrently [17].taking into account that a lds should first detect a leak, internal methods, which are responsible for this diagnostic task, acquire particular significance. in practice, one or several methods must be used to increase the reliability of lds, which is defined as a degree of pipeline's operators confidence, i.e. absence of false alarms and also system's ability to detect any kind of occurred leak.the most advanced solutions, aimed at leakage detection, are based on process dynamics models. an example of this method is the inverse analysis method [9,19] and also so called methods with automatic control approach [1,2, 10,11,16,18]. without doubt, the main advantage of both groups of methods is the ability to detect leaks in steady states as well as in transition states, resulting from a change in pipeline's operational conditions such as: an operating point change, valve's aperture and closure, pump's start-up or stoppage. However, ostaPkowIcz P, bratek a. Possible leakage detection level in transmission pipelines using improved simplified methods. eksploatacja i niezawodnosc -Maintenance and reliability 2016; 18 (3): 469-480, http://dx

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A selective literature review of transient-based leak detection methods

Cited by 434 publications

References 48 publications

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

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

Leak Detection and Localization through Demand Components Calibration

Possible leakage detection level in transmission pipelines using improved simplified methods

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