Leakage detection is one of the important aspects of water distribution management. Water
companies are exploring alternative approaches to detect leaks in a timely manner with high …

This paper explores the use of 'conditional convolutional generative adversarial
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …

This paper presents a method for leak localization in water distribution networks (WDNs)
based on Bayesian classifiers. Probability density functions for pressure residuals are …

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 …

During the past decades, the problem of finding leaks in Water Distribution Networks (WDN)
has been challenging. The quicker detection of leaks, on one hand prevents water loss and …

This paper explores the use of deep learning for leak localization in Water Distribution
Networks (WDNs) using pressure measurements. By using a training data set including …

Leaks represent one of the most relevant faults in water distribution networks (WDN),
resulting in severe losses. Despite the growing research interest in critical infrastructure …

This article presents a new data-driven method for leak localization in water-distribution
networks (WDNs). The method uses the information provided by a set of pressure sensors …

This paper presents a new data-driven method for leak localization in water distribution
networks. The proposed method relies on the use of available pressure measurements in …

This paper presents a sensor placement approach for classifier-based leak localization in
water distribution networks. The proposed method is based on a hybrid feature selection …