Advancing the analysis of water pipe failures: a probabilistic framework for identifying significant factors

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 19, 2024

The failure of water pipes in Water Distribution Networks (WDNs) is associated with environmental, economic, and social consequences. It essential to mitigate these failures by analyzing the historical data WDNs. extant literature regarding pipe analysis limited absence a systematic selection significant factors influencing eliminating bias frequency distribution data. Hence, this study presents new framework address existing limitations. consists two algorithms for categorical numerical failure. are employed check relevance between pipe's distributions order select most factors. applied Hong Kong WDN, selecting 10 out 21 as likelihood feature method Bayes' theorem estimate probability due materials results indicate that galvanized iron polyethylene susceptible WDN. proposed enables decision-makers infrastructure industry effectively prioritize their networks' allocate resources accordingly.

Язык: Английский

---

A novel approach based on graph signal processing and sampling theory to set pressure sensors in water distribution networks

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126306 - 126306

Опубликована: Янв. 1, 2025

Язык: Английский

---

Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

ABSTRACT The presence of numerous distributed power sources in distribution grids leads to a diverse array controlled object points and significant uncertainties, thereby posing series challenges the control operation grids. Hence, this study proposes virtual cluster partitioning model for active networks using quantum particle swarm optimization (QPSO) algorithm sector search, aiming achieve autonomy within clusters coordination between clusters. First, article search that transforms topological connections network into mathematical expressions. This simplifies node locations improves algorithm's convergence speed. Building upon traditional (PSO) algorithm, introduces wave function Schrödinger equation enhance performance. By treating vectors obtained from searches as particles, proposed QPSO significantly both efficiency global solving model. Finally, case studies conducted on modified PG&E 69‐node system demonstrated method's advantages. method improved computational efficiency, with supply rate over 0.6 modularity above 0.7, ensuring balanced partitioning. scalability effectiveness were validated an 85‐node system, achieving high operational adaptability.

Язык: Английский

---

Low model-dependent sensor placement method for water distribution networks using adaptive attributed graph clustering

Journal of Water Process Engineering, Год журнала: 2025, Номер 71, С. 107358 - 107358

Опубликована: Фев. 27, 2025

Язык: Английский

---

Dynamic-demand vulnerability analysis of water networks using a two-index neural network algorithm

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 151, С. 110581 - 110581

Опубликована: Март 26, 2025

Язык: Английский

---

Core-periphery structure for district metered area partitioning in urban water distribution systems

Water Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

---