Novel leakage detection and water loss management of urban water supply network using multiscale neural networks-Reference-Cited by-同舟云学术

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Novel leakage detection and water loss management of urban water supply network using multiscale neural networks

Published:2021-01 Issue: Volume:278 Page:123611
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Hu Xuan,Han Yongming,Yu Bin,Geng Zhiqiang,Fan Jinzhen

Funder

Fundamental Research Funds for the Central Universities

Major Science and Technology Project of Hainan Province

Science and Technology Program of Guizhou Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference46 articles.

1. Leakage detection in a real distribution network using a SOM;Aksela;Urban Water J.,2009

2. On the acoustic filtering of the pipe and sensor in a buried plastic water pipe and its effect on leak detection: an experimental investigation;Almeida;Sensors,2014

3. Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection;Arsene;Expert Syst. Appl.,2012

4. On the performance of GoogLeNet and AlexNet applied to sketches;Ballester,2016

5. Smart metering: enabler for rapid and effective post meter leakage identification and water loss management;Britton;J. Clean. Prod.,2013

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