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Urban Water Journal Volume 9, 2012 - Issue 2
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Research articles

State-of-the-technology review on water pipe condition, deterioration and failure rate prediction models!

Alison M. St. Clair Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USACorrespondence[email protected]
&
Sunil Sinha Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA
Pages 85-112 | Received 02 Mar 2011, Accepted 22 Nov 2011, Published online: 30 Jan 2012

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Ahmed A. Abokifa & Lina Sela. (2023) Integrating spatial clustering with predictive modeling of pipe failures in water distribution systems. Urban Water Journal 20:4, pages 465-476.
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Yves Le Gat. (2014) Extending the Yule process to model recurrent pipe failures in water supply networks. Urban Water Journal 11:8, pages 617-630.
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Jesús Mora-Rodríguez, Xitlali Delgado-Galván, Helena M. Ramos & P. Amparo López-Jiménez. (2014) An overview of leaks and intrusion for different pipe materials and failures. Urban Water Journal 11:1, pages 1-10.
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Mojtaba Mahmoodian. 2018. Reliability and Maintainability of In-Service Pipelines. Reliability and Maintainability of In-Service Pipelines 79 101 .
David A. Lloyd Owen. 2018. Assessing Global Water Megatrends. Assessing Global Water Megatrends 87 104 .
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Fang Shi, Zheng Liu & Eric Li. (2017) Prediction of Pipe Performance with Ensemble Machine Learning Based Approaches. Prediction of Pipe Performance with Ensemble Machine Learning Based Approaches.
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Zahra ZangenehmadarOsama Moselhi. (2016) Assessment of Remaining Useful Life of Pipelines Using Different Artificial Neural Networks Models. Journal of Performance of Constructed Facilities 30:5.
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Berk Uslu, Sunil K. Sinha & Walter L. Graf. (2016) Performance Index and Prediction Model for Assessing the Remaining Life of Force Mains. Performance Index and Prediction Model for Assessing the Remaining Life of Force Mains.
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Crossref
Ana Luís, Fiona Lickorish & Simon Pollard. (2016) Evolution of strategic risks under future scenarios for improved utility master plans. Water Research 88, pages 719-727.
Crossref
Yves Le Gat. 2015. Recurrent Event Modeling Based on the Yule Process. Recurrent Event Modeling Based on the Yule Process 123 126 .
E. KimutaiG. BetrieR. BranderR. SadiqS. Tesfamariam. (2015) Comparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure. Journal of Pipeline Systems Engineering and Practice 6:4.
Crossref
Andreas Scheidegger, João P. Leitão & Lisa Scholten. (2015) Statistical failure models for water distribution pipes – A review from a unified perspective. Water Research 83, pages 237-247.
Crossref
Lindsay JenkinsSanjiv GokhaleMark McDonald. (2015) Comparison of Pipeline Failure Prediction Models for Water Distribution Networks with Uncertain and Limited Data. Journal of Pipeline Systems Engineering and Practice 6:2.
Crossref
Alison M. St. ClairSunil K. Sinha. (2014) Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines. Journal of Pipeline Systems Engineering and Practice 5:3.
Crossref

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