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Related papers: Acoustic Leak Detection in Water Networks

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In this paper, we introduce a novel mechanism that uses machine learning techniques to detect water leaks in pipes. The proposed simple and low-cost mechanism is designed that can be easily installed on building pipes with various sizes.…

Sound · Computer Science 2025-01-22 Hossein Pourmehrani , Reshad Hosseini , Hadi Moradi

An automated, standoff acoustic leak detection scheme has been designed, built, and tested. It merges the principles of glass breakage and smoke detection to alert for the presence of leaks emanating from pressurized plumbing. A simulated…

Cryptography and Security · Computer Science 2025-11-04 Michael P. Hasselbeck

Detecting leaks in water networks is a costly challenge. This article introduces a practical solution: the integration of optical network with water networks for efficient leak detection. Our approach uses a fiber-optic cable to measure…

Systems and Control · Electrical Eng. & Systems 2023-07-31 Huan Wu , Huan-Feng Duan , Wallace W. L. Lai , Kun Zhu , Xin Cheng , Hao Yin , Bin Zhou , Chun-Cheung Lai , Chao Lu , Xiaoli Ding

In this article we introduce the principles to detect leakage using a mathematical model based on machine learning and domestic water consumption monitoring in real time. The model uses data which is measured from a water meter, analyzes…

Computational Engineering, Finance, and Science · Computer Science 2017-07-26 Gal Oren , Nerya Y. Stroh

The paper studies the problem of leakage localization in water distribution networks. For the case of a single pipe that suffers from a single leak, by taking recourse to pressure and flow measurements, and assuming those are noiseless, we…

Systems and Control · Electrical Eng. & Systems 2022-04-04 Ludvig Lindstrom , Sebin Gracy , Sindri Magnusson , Henrik Sandberg

We design statistical hypothesis tests for performing leak detection in water pipeline channels. By applying an appropriate model for signal propagation, we show that the detection problem becomes one of distinguishing signal from noise,…

Signal Processing · Electrical Eng. & Systems 2022-10-25 Liusha Yang , Matthew R. McKay , Xun Wang

Underground water and wastewater pipelines are vital for city operations but plagued by anomalies like leaks and infiltrations, causing substantial water loss, environmental damage, and high repair costs. Conventional manual inspections…

Machine Learning · Computer Science 2025-10-09 Qiming Guo , Bishal Khatri , Hua Zhang , Wenlu Wang

In this paper, we provide a mathematical optimization-based framework to determine the location of leak detection devices along a network. Assuming that the devices are endowed with a known coverage area, we analyze two different models.…

Optimization and Control · Mathematics 2023-07-14 Víctor Blanco , Miguel Martínez-Antón

Leakages are a major risk in water distribution networks as they cause water loss and increase contamination risks. Leakage detection is a difficult task due to the complex dynamics of water distribution networks. In particular, small…

Machine Learning · Computer Science 2024-01-04 Valerie Vaquet , Fabian Hinder , Barbara Hammer

Water is a critical resource that must be managed efficiently. However, a substantial amount of water is lost each year due to leaks in Water Distribution Networks (WDNs). This underscores the need for reliable and effective leak detection…

Machine Learning · Computer Science 2025-11-18 Daniele Ugo Leonzio , Paolo Bestagini , Marco Marcon , Stefano Tubaro

We have built a novel system for the surveillance of drinking water reservoirs using underwater sensor networks. We implement an innovative AI-based approach to detect, classify and localize underwater events. In this paper, we describe the…

Underwater monitoring and surveillance systems are essential for underwater target detection, localization and classification. The aim of this work is to investigate the possibility of target detection by using data transmission between…

Signal Processing · Electrical Eng. & Systems 2024-09-18 Lu Shen , Yuriy Zakharov , Benjamin Henson , Nils Morozs , Benoît Parrein , Paul D. Mitchell

Abandoned oil and gas wells pose significant environmental risks due to the potential leakage of hydrocarbons, brine and chemical pollutants. Detecting such leaks remains extremely challenging due to the weak acoustic emission and high…

Applied Physics · Physics 2025-11-12 Guanlin Zhu , Zechun Deng , Jiaxin Shen , Junchi Yang

Leak detection systems range from simple, visual line walking and checking ones to complex arrangements of hard-ware and software. No one method is universally applicable and operating requirements dictate which method is the most cost…

Other Computer Science · Computer Science 2009-03-26 Timur Chis

This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning is considered for the second stage. The novel proposed interpolation…

Systems and Control · Electrical Eng. & Systems 2023-10-31 Paul Irofti , Luis Romero-Ben , Florin Stoican , Vicenç Puig

With the advent of integrated sensor technology (smart flow meters and pressure sensors), various new numerical algorithms for leak localization (a core element of water distribution system operation) have been developed. However, there is…

Systems and Control · Electrical Eng. & Systems 2024-03-18 Victor Molnö , Henrik Sandberg

This paper presents a battery-less, self-powered water leak detection system that utilizes LoRa communication for long-range, real-time monitoring. The system harvests hydroelectric energy through a layered stack of conductive nanomaterials…

Systems and Control · Electrical Eng. & Systems 2025-07-08 Roshan Nepal , Roozbeh Abbasi , Brandon Brown , Adunni Oginni , Norman Zhou , George Shaker

In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and dictionary classification. The former estimates the complete…

Machine Learning · Computer Science 2021-10-14 Paul Irofti , Luis Romero-Ben , Florin Stoican , Vicenç Puig

Leakages in drinking water distribution networks pose significant challenges to water utilities, leading to infrastructure failure, operational disruptions, environmental hazards, property damage, and economic losses. The timely…

Machine Learning · Computer Science 2023-09-07 Ivo Daniel , Andrea Cominola

Gas leakage is a serious hazard in a variety of sectors, including industrial, domestic, and gas-powered vehicles. The installation of gas leak detection systems has emerged as a critical preventative measure to solve this problem.…

Signal Processing · Electrical Eng. & Systems 2023-07-06 Ayush Singh , Harikrishnan Pisharody Gopalkrishnan , Mahesh Raveendranatha Panicker
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