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Lookup NU author(s): Dr Xiang XieORCiD
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Leakages in water distribution networks have caused considerable waste of water resources. Thus, this study proposes a novel method for hydraulically monitoring and identifying regions where leakages occur in near-real time. A large network is first divided into several identification regions. To exploit a strong constructive and discriminative power, sparse coding is used, thereby adaptively coding the information embedded in observed pressures efficiently and succinctly. And a linear classifier is trained to determine the most likely leakage regions. A benchmark case is presented in this study to demonstrate the effectiveness of the proposed method. Results indicate that the proposed method can identify leakage events with enhanced tolerance capability for measurement errors. The method is also partially effective for identifying two simultaneous leakages. Certain practical advice in balancing the number of sensors and regions is also discussed to enhance the application potential of this method.
Author(s): Xie X, Hou DB, Tang XY, Zhang HJ
Publication type: Article
Publication status: Published
Journal: Water Resources Management
Print publication date: 15/02/2019
Online publication date: 05/01/2019
Acceptance date: 25/12/2018
ISSN (print): 0920-4741
ISSN (electronic): 1573-1650
Publisher: Springer Nature
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