In this paper, leak detection and localization in water distribution networks will be reviewed. In particular, the paper presents the evolution of the methods from model-based towards …
ZY Wu, A Chew, X Meng, J Cai, J Pok… - Sustainable Cities and …, 2023 - Elsevier
Abstract Smart Water Grid (SWG) plays a critical role in sustaining cities economic and social development, but challenges remain in fully realizing the benefits of SWG. While …
This research article presents a model-based framework for detecting and localizing leaks in water distribution networks (WDNs). The framework uses optimization and systematic search …
This paper proposes a new sensor placement approach for leak location in water distribution networks (WDNs). The sensor placement problem is formulated as an integer …
This paper proposes a new method for leak localization in water distribution networks (WDNs). In a first stage, residuals are obtained by comparing pressure measurements with …
M Saade, S Mustapha - Measurement, 2020 - Elsevier
Oil and water transport pipeline systems are susceptible to damage due to harsh environmental conditions and operational factors. Hence, ongoing maintenance and …
ZY Wu, A Chew, X Meng, J Cai, J Pok… - AQUA—Water …, 2022 - iwaponline.com
With increasing adoption of advanced meter infrastructure, smart sensors together with SCADA (Supervisory Control and Data Acquisition) systems, it is imperative to develop …
L Basnet, D Brill, R Ranjithan… - Journal of Water …, 2023 - ascelibrary.org
Localizing pipe leaks is a significant challenge for water utilities worldwide. Pipe leaks in water distribution systems (WDSs) can cause the loss of a large amount of treated water …
K Glynis, Z Kapelan, M Bakker, R Taormina - Water Resources …, 2023 - Springer
Researchers and engineers employ machine learning (ML) tools to detect pipe bursts and prevent significant non-revenue water losses in water distribution systems (WDS) …