Automated leak localization performance without detailed demand distribution data-Reference-Cited by-同舟云学术

Automated leak localization performance without detailed demand distribution data

Published:2018-01-04 Issue:2 Volume:15 Page:116-123
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Moors J.¹²,Scholten L.¹,van der Hoek J. P.¹³,den Besten J.²

Affiliation:

1. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands

2. Assetmanagement, Oasen N.V., Gouda, The Netherlands

3. Waternet, Strategic Centre, Amsterdam, The Netherlands

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2017.1414272

Reference27 articles.

1. Bakker, M. 2014. “Optimised Control and Pipe Burst Detection by Water Demand Forecasting.” Doctoral dissertation, TU Delft, Delft, The Netherlands.

2. CBS. 2015. Kerncijfers wijken en buurten 2014 (Dutch, Translation: Key Figures of Districts and Neighbourhoods). Accessed October 1, 2016. http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=82931NED&D1=0,3,22-26,45-61,99,121&D2=0,802-840,14224-14227&HDR=T&STB=G1&VW=T

3. Assessment of a Leak Localization Algorithm in Water Networks under Demand Uncertainty ★ ★This work is partially supported by CICYT HARCRICS DPI2014-58104-R, CICYT ECOCIS DPI2013-48243-C2-1-R of the Spanish Ministry of Education and by the EFFINET grant FP7-ICT-2012-318556 of the European Commission, the Universitat Politécnica de Catalunya (UPC) and 2014SGR374 of the Generalitat de Catalunya.

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