[HTML][HTML] Addressing data limitations in leakage detection of water distribution systems: Data creation, data requirement reduction, and knowledge transfer

Y Wu, S Liu, Z Kapelan - Water Research, 2024 - Elsevier
Leakage in water distribution systems is a significant problem worldwide, leading to wastage
of water resources, compromised water quality and excess energy consumption. Leakage …

Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective

Y Wu, X Ma, G Guo, T Jia, Y Huang, S Liu, J Fan, X Wu - Water Research, 2024 - Elsevier
Against the backdrop of severe leakage issue in water distribution systems (WDSs),
numerous researchers have focused on the development of deep learning-based acoustic …

[HTML][HTML] Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions

E Farah, I Shahrour - Water, 2024 - mdpi.com
This paper provides a comprehensive review of the methods and techniques developed for
detecting leaks in water distribution systems, with a focus on highlighting their strengths …

Feature selection of acoustic signals for leak detection in water pipelines

Z Xu, H Liu, G Fu, Y Zeng, Y Li - Tunnelling and Underground Space …, 2024 - Elsevier
Water pipelines often have small cracks and leaks over time due to various degradation
process. Acoustic emission technique is an outstanding method in leak detection for low cost …

Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning

Y Bi, Q Wu, S Wang, J Shi, H Cong, L Ye, W Gao, M Bi - Energy, 2023 - Elsevier
Accurate and efficient localization of hydrogen leakage is crucial for ensuring the safe and
stable operation of hydrogen refueling stations. In this paper, a hybrid model (CEEMDAN …

Water Flow Modeling and Forecast in a Water Branch of Mexico City through ARIMA and Transfer Function Models for Anomaly Detection

D Barrientos-Torres, EA Martinez-Ríos… - Water, 2023 - mdpi.com
Early identification of anomalies (such as leakages or sensor failures) in urban water
distribution systems is critical to mitigating water scarcity in cities and is a challenge in water …

Acoustic localization approach for urban water distribution networks using machine learning method

R Zhang, AM Yussif, I Tijani, A Fares, S Tariq… - … Applications of Artificial …, 2024 - Elsevier
Leakage in water pipelines causes the loss of valuable amounts of water and can result in
considerable environmental damage. This study presents a real-time leak localization …

A two-stage model for data-driven leakage detection and localization in water distribution networks

V Tyagi, P Pandey, S Jain, P Ramachandran - Water, 2023 - mdpi.com
Water utilities face the challenge of reducing water losses by promptly detecting, localizing,
and repairing leaks during their operational stage. To address this challenge, utilities are …

Interpretable deep learning for acoustic leak detection in water distribution systems

Z Xu, H Liu, G Fu, R Zheng, T Zayed, S Liu - Water Research, 2025 - Elsevier
Leak detection is crucial for ensuring the safety of water systems and conserving water
resources. However, current research on machine learning methods for leak detection …

Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications.

D Jayakumar, A Bouhoula… - Water (20734441), 2024 - search.ebscohost.com
Assessing diverse parameters like water quality, quantity, and occurrence of hydrological
extremes and their management is crucial to perform efficient water resource management …