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 …

This article develops a hybrid approach to fault detection and isolation (FDI) based on a
machine learning technique and quasi-Linear Parameter Varying (qLPV) zonotopic …

A pipeline is the most efficient way to transport water from one place to another. Due to
aging, corrosion, and external factors, the pipeline is prone to damage, which causes leaks …

An alternative approach to modeling the hydraulic transient response and leakage detection
is proposed for reservoir pipeline valve systems. Exponential-function-based impedance …

From small toys to satellites, capacitors play a vital role as an energy storage element,
filtering or controlling other critical tasks. This research paper focuses on estimating the …

Among the existing bearing fault diagnosis algorithms, the diagnosis time of algorithms with
high accuracy is relatively long, and the accuracy of some lightweight methods is low …

With the continuous development of pipeline transportation industry, pipeline leakage often
occurs, posing a great threat to people's lives and property safety. In order to improve the …

Because of economic, population, and consumption patterns changes, the use of freshwater
has increased significantly in the last 100 years. Notably, measurement is essential to …

Numerous novel improved support vector machine (SVM) methods are used in leak
detection of water pipelines at present. The least square twin K-class support vector …

This work proposes a model predictive control (MPC) strategy for pressure management and
leakage reduction in a water distribution system (WDS). Unlike most of the reported models …