Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection

Water is a precious resource that should be managed carefully. However, due to leakages in water distributed networks (WDNs), a large amount of water is lost each year that suggests the need for reliable and robust leak detection and localization system. This paper attempts to review the current tec...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.78846-78867
Main Authors: Chan, T. K., Chin, Cheng Siong, Zhong, Xionghu
Format: Article
Language:English
Subjects:
Acoustic emission
Artificial neural networks
Computer networks
Convolution
Leak detection
leakage
localization
Moisture content
Monitoring
Neural networks
Pipelines
review
Soil
Support vector machines
Uncertainty
Water distribution networks
Water resources
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Summary:Water is a precious resource that should be managed carefully. However, due to leakages in water distributed networks (WDNs), a large amount of water is lost each year that suggests the need for reliable and robust leak detection and localization system. This paper attempts to review the current technologies for leakage detection in WDN as well as several proposed intelligent methodologies (such as support vector machine, neural network, and convolution neural network) over the past few years. The current methodologies and their limitations are discussed. Uncertainties involved in the implementation of WDN leakage detection are also discussed, and several suggestions to overcome such uncertainties are provided for future implementations.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2885444