Pipe burst diagnostics using evidence theory

Bicik, Josef; Kapelan, Zoran; Makropoulos, Christos; Savić, Dragan

doi:10.2166/hydro.2010.201

Cited by 27 publications

(12 citation statements)

References 36 publications

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“…An alternative approach based on an inverse approach that formulates the leak detection and localization problem as a parameter estimation approach was presented by Pudar & Ligget (1992) and further inverse approaches were investigated (Ligget & Chen, 1995) (Kapelan et al, 2003) (Wu & Sage, 2006). Additionally, other contributions integrating data-driven and model-driven approaches (Farley et al, 2010;Bicik et al, 2013) or based just on a data-driven approach (Romano et al, 2013) were also presented. Pérez et al (2011) presents a direct modelling methodology developed to help network operators deal with the detection and localization of leaks in district metered areas (DMAs 5 ) of water distribution networks.…”

Section: Introductionmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

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Abstract:This paper describes a model-driven decision-support system (software tool) implementing a model-based methodology for on-line leakage detection and localization which is useful for a large class of water distribution networks. Since these methods present a certain degree of complexity which limits their use to experts, the proposed software tool focuses on the integration of a method emphasizing its use by water network managers as a decision support system. The proposed software tool integrates a model-based leakage localization methodology based on the use of on-line telemetry information, as well as a water network calibrated hydraulic model. The application of the resulting decision support software tool in a district metered area (DMA) of the Barcelona distribution network is provided and discussed. The obtained results show that the leakage detection and localization may be performed efficiently reducing the required time.

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Section: Introductionmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

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“…Bicik et al (2011) mentioned that the consumer complaints are strong indicators of water distribution failure. However, all of them are not trustworthy with the same confidence level.…”

Section: Equivalent On-spot Complaint (Esc)mentioning

confidence: 99%

“…The concept of D-S theory has been described in the various literature. Readers are suggested to consult with different D-S theorybased literature (e.g., Bicik et al 2011;Li 2007;Sadiq and Rodriguez 2005;Sadiq et al 2006) for the basic discussion and detail interpretation on the D-S theory.…”

Section: Dempster-shafer Theorymentioning

confidence: 99%

Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures

Islam

Sadiq

Rodriguez

et al. 2016

Water Resour Manage

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This paper presents an innovative decision support system (DSS) for prognostic and diagnostic analyses of water distribution system (WDS) failures. The framework of the DSS is based on four novel models developed and published by the authors of this paper. The four models include reliability assessment model, leakage potential model, leakage detection model, and water quality failure potential model. Information obtained from these models together with external information such as customer complaints, lab test results (if any), and historical information are integrated using Dempster-Shafer (D-S) theory to evaluate prognostic and diagnostic capabilities of the DSS. The prognostic capabilities of the DSS provide hydraulic and water quality states of a WDS whereas the diagnostic capabilities of the DSS help to identify the failure location with minimal time after the occurrence and will help to reduce false positive and false negative predictions. The framework has 'unique' capacity to bring the modeling information (hydraulic and Quality), consumer complaints, historical failure data, and laboratory test information under a single platform to perform a prognostic and diagnostic investigation of WDS failures (hydraulic and Quality). The proof of concept of the DSS has been demonstrated using data used in published four articles. The outcomes of this research widely addressed the uncertainties associated with WDS which improves the efficiency and effectiveness of diagnosis and prognosis analyses of WDS. It is expected that the developed integrated framework will help municipalities to make informed decisions to increase the safety, reliability and the security of public health.

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“…DSET, also known as the theory of belief functions, was first developed by Dempster and Shafer in Dempster (1967, 1968); Shafer (1976) and is a powerful tool for managing and mining uncertain data (Caselton & Luo, 1992; Kaftandjian et al., 2003; Riley, 2015; X. Wang et al., 2016). In particular, the Dempster's rule of combination is able to fuse the evidences from various sources (Liu, 2006; Shafer, 1976; Smets, 2007) and has been successfully used for data fusion in pipe burst detection (Bicik et al., 2011), fault diagnosis (Basir & Yuan, 2007; Oukhellou et al., 2010), pattern recognition or image processing (Murphy, 1998; Quost et al., 2011).…”

Section: Introductionmentioning

confidence: 99%

Multi‐Sensor Fusion for Transient‐Based Pipeline Leak Localization in the Dempster‐Shafer Evidence Framework

Lin

Wang

Ghidaoui

2021

Water Resources Research

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Leakage in urban water supply systems results in huge financial loss. The World Bank estimates the worldwide monetary value of loss water at about 39 billion USD per year (Liemberger & Wyatt, 2019). This is direct water cost; leakage also gives rise to indirect socioeconomic costs as pipe failures may disrupt businesses, interrupt production processes, cause floods, and damage properties (Huang et al., 2020). In addition, leaks are potential entry points for contaminants and thus lead to risks to public health (Colombo et al., 2009;. Therefore, a fast, accurate and low-cost leak localization method is of desperate need.Fluid transient-based defect detection methodology is a promising general approach for estimating leaks and other defects and has been intensively investigated in the last three decades. This approach actively introduces hydraulic waves, measures pressure response at specified location(s), and analyzes the measured signals to identify and localize defects in a pipe system. This approach can be divided into two classes: (i) the model-data matching methods and (ii) the signal feature methods. The model-data matching methods estimate the concerned parameters (such as leak location and size) by matching pressure measurement with either (i-a) time-domain model (

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Pipe burst diagnostics using evidence theory

Cited by 27 publications

References 36 publications

A decision support system for on-line leakage localization

A decision support system for on-line leakage localization

Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures

Multi‐Sensor Fusion for Transient‐Based Pipeline Leak Localization in the Dempster‐Shafer Evidence Framework

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