Application of genetic programming to modeling pipe failures in water distribution systems

Xu, Qiang; Chen, Qiuwen; Li, Weifeng

doi:10.2166/hydro.2010.189

Cited by 25 publications

(9 citation statements)

References 25 publications

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“…However, the quality of modelling in such cases can be lower since the forecasting process is based not on real data (from existing water utilities), but on artificial data. Still the majority of modelling approaches are based on operational information [1,7,22]. Therefore it seems worthwhile to compare the results of modelling with experimental data coming from two Polish water utilities in order to check whether the models proposed in the literature are valid for the water-pipe operating conditions in Poland.…”

Section: Methodsmentioning

confidence: 99%

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Modelling of Failure Rate of Water-pipe Networks

Kutyłowska

2015

Period. Polytech. Civil Eng.

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The paper describes the reliability of selected water-pipe networks in Polish medium-sized cities X and Z. The IntroductionA water supply network is an essential part of the buried infrastructure. Water of proper quality should be delivered to consumers under the required pressure and in the required amount. In order to achieve these goals it is necessary to continuously monitor the technical condition of the water pipes. Proper maintenance and operation are critical for the reliability and safety of the water-pipe network. The control of the pressure inside the pipes is one of the measures leading to a decrease in the number of failures and in the unreliability of the whole system [4]. Another performance optimization measure is mathematical modelling and forecasting, which use typical models, artificial intelligence and some reliability indicators. Thanks to modelling one can relatively quickly assess the condition of water pipes [20]. According to many authors [3,15,17], the modelling of reliability indicators and technical condition and then using the modelling results by water utilities can lead to an increase in water supply network efficiency and in water quality. Also an improvement in the management of the system can be achieved in this way. Moreover, through modelling one can correctly estimate the costs of water pipe reconstruction [2,21].

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Section: Methodsmentioning

confidence: 99%

“…Generally, artificial intelligence predicts some operational parameters slightly better than typical models [7,12,22]. For example an ANN forecasted the failure rate in one Polish city with agreement at the level of R 2 = 0.95 and R 2 = 0.92 for service and distribution pipes, respectively [12].…”

Section: Tab 1 Values Of Constant Coefficients D C E In the City mentioning

confidence: 99%

Modelling of Failure Rate of Water-pipe Networks

Kutyłowska

2015

Period. Polytech. Civil Eng.

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“…Analyses and assessments of WSS failure have been conducted in many countries since the second half of the last century [49][50][51][52][53][54][55][56][57], with obtained conclusions used to improve the programming, design, implementation and operation of the WSS; to inspire improvement and amendment of technical regulations, design standards, guidelines and instructions for the performance and acceptance of facilities; and to raise levels of technical knowledge and professional qualifications among designers, contractors and operators [58]. A very important issue is determination of the criterion value of risk, as a risk may be considered controlled when expected losses resulting from failure are acceptable to both a water company and the consumers of its water [2].…”

Section: Legal Regulations Regarding Safety Of the Water Supply For Cmentioning

confidence: 99%

Approaches to Failure Risk Analysis of the Water Distribution Network with Regard to the Safety of Consumers

Pietrucha-Urbanik

Tchórzewska-Cieślak

2018

Water

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Contemporary risk assessment makes reference to current world trends, whereby there is increased emphasis on safety. This paper has thus sought mainly to present new approaches to failure risk assessment where the functioning of a water distribution network (WDN) is concerned. The framework for the research involved here has comprised of: (a) an analysis of WDN failure in regard to an urban agglomeration in south-east Poland; (b) failure rate analysis, taking account of the type of a water pipe (mains, distribution, service connections (SC)) and months of the year, with an assessment of results in terms of criterion values for failure rate; (c) a determination—by reference to analyses performed previously—of the compatibility of experts’ assessments in terms of standards of failure and obtained results, through rank analysis; and (d) the proposing of a modified Multi-Criteria Decision Analysis with implementation of an Analytical Hierarchy Process, to allow failure risk assessment for the WDN to be performed, on the basis of the calculated additive value of obtained risk. The analysis in question was based on real operating data, as collected from the water distribution company. It deals with failures in the WDN over a period of 13 years in operation, from 2005 to 2017.

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“…Although the models' structures and parameters are usually case-dependent because of the inherent complexity of pipe leakage, the difference in pipe networks and data availability, these models are successfully applied to assess the failure probability of pilot pipes (Xu et al, 2011), from which an optimal leakage detection plan or pipe rehabilitation strategy can be made (Xu et al, 2013).…”

Section: Optimization Of Leakage Detection Scheme Based On Pipe Leakamentioning

confidence: 99%

Review on water leakage control in distribution networks and the associated environmental benefits

Liu

Chen

et al. 2014

Journal of Environmental Sciences

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a b s t r a c tWater supply is the primary element of an urban system. Due to rapid urbanization and water scarcity, maintaining a stable and safe water supply has become a challenge to many cities, whereas a large amount of water is lost from the pipes of distribution systems. Water leakage is not only a waste of water resources, but also incurs great socio-economic costs. This article presents a comprehensive review on the potential water leakage control approaches and specifically discusses the benefits of each to environmental conservation. It is concluded that water leakage could be further reduced by improving leakage detection capability through a combination of predictive modeling and monitoring instruments, optimizing pipe maintenance strategy, and developing an instant pressure regulation system. The environment could benefit from these actions because of water savings and the reduction of energy consumption as well as greenhouse gas emissions.

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Application of genetic programming to modeling pipe failures in water distribution systems

Cited by 25 publications

References 25 publications

Modelling of Failure Rate of Water-pipe Networks

Modelling of Failure Rate of Water-pipe Networks

Approaches to Failure Risk Analysis of the Water Distribution Network with Regard to the Safety of Consumers

Review on water leakage control in distribution networks and the associated environmental benefits

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