Risk Assessment for Early Water Leak Detection-Reference-Cited by-同舟云学术

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Risk Assessment for Early Water Leak Detection

Published:2017-10-24 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Sustainable Infrastructure 2017
language:
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Author:

Cantos Wilmer P.¹²³,Juran Ilan¹²³,Tinelli Silvia¹²³

Affiliation:

1. Ph.D. Candidate, New York Univ. Tandon School of Engineering, Urban Infrastructure Institute, 6 MetroTech Center, Brooklyn, NY 11201.

2. Professor, New York Univ. Tandon School of Engineering, Urban Infrastructure Institute, 6 MetroTech Center, Brooklyn, NY 11201.

3. Ph.D. Candidate, DICAr-Dipartimento di Ingegneria Civile e Architettura, Univ. of Pavia, Via Ferrata 3, 27100 Pavia, Italy.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784481219.027

Reference13 articles.

1. Leakage detection in a real distribution network using a SOM

2. Leak Estimation in Water Distribution Systems by Statistical Analysis of Flow Readings

3. Juran I. (2016) "EU-FP7 SW4EU Interim Progress Report" W-SMART Association

4. Farah E. (2016). "Detection of water leakage using innovative smart water system: application to SUNRISE Smart City demonstrator." Doctoral dissertation Lille University

5. Farley M. (2001). Leakage management and control. A best practice training manual.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine-Learning–Based Risk Assessment Method for Leak Detection and Geolocation in a Water Distribution System;Journal of Infrastructure Systems;2020-03

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