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 …

Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …

During the state monitoring and fault diagnosis of hydraulic control system, different kinds of
sensors are used to collect fault signals. The arrangement of a limited number of sensors in …

A key challenge in designing algorithms for leakage detection and isolation in drinking water
distribution systems is the performance evaluation and comparison between methodologies …

This book revolves around the question of designing a matrix D∈ Rm× n called dictionary,
such that to obtain good sparse representations y≈ Dx for a class of signals y∈ Rm given …

The search for new strategies for leak detection, estimation and localization in Water
Distributions Networks (WDNs) is a state-of-the-art research topic. In this paper, a …

Over the last three decades, the increasing development of smart water meter trials and the
rise of demand management has fostered the collection of water demand data at …

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 …

The application of a genetic algorithm inspired multi-objectives optimization algorithms,
known as the Non-dominated Sorting Genetic Algorithm (NSGAii) in solving optimization …

The accidental leakage of long-distance pressurized oil pipelines is a major area of risk,
capable of causing extensive damage to human health and environment. However, the …