ePrints

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

Lookup NU author(s): Teck CHAN, Professor Cheng Chin

Downloads

• Published version [.pdf]

Licence

This is the final published version of an article that has been published in its final definitive form by IEEE, 2018.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

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.

Publication metadata

Author(s): Chan TK, Chin CS, Zhong XH

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2018

Volume: 6

Issue: 1

Pages: 78846-78867

Online publication date: 06/12/2018

Acceptance date: 02/12/2018

Date deposited: 02/01/2019

ISSN (electronic): 2169-3536

Publisher: IEEE

URL: https://doi.org/10.1109/ACCESS.2018.2885444

DOI: 10.1109/ACCESS.2018.2885444

Altmetrics

Funding

Share