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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

In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of deployment. Based on recordings from seven contact microphones…

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

Leak detection in urban water distribution networks (WDNs) is challenging given their scale, complexity, and limited instrumentation. We present an algorithm for leak detection in WDNs, which involves making additional flow measurements…

Data Structures and Algorithms · Computer Science 2016-06-07 Aravind Rajeswaran , Sridharakumar Narasimhan , Shankar Narasimhan

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

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

We exploit the optical lever principle to detect minute fluctuations of a liquid-air interface. Waves propagating on the interface deflect a specularly reflected laser beam, inducing angular deviations captured by a dual-element photodiode.…

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

A device for passive monitoring of slow water leaks, especially periodic leaks caused by faltering gaskets. The detection and notification solution is composed of an algorithm tuned specifically for bathroom leaks, motivated by a surprise…

Signal Processing · Electrical Eng. & Systems 2019-10-30 Alexander Greysukh

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

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 Distribution Networks (WDN) using sensors has become crucial towards an efficient management of water resources. The leak detection methods that use this data rely on the correctness of the acquired data. However,…

Systems and Control · Electrical Eng. & Systems 2020-07-21 Krishnan Srinivasarengan , Taha Boukhobza , Samir Aberkane , Vincent Laurain

AI data centers which are GPU centric, have adopted liquid cooling to handle extreme heat loads, but coolant leaks result in substantial energy loss through unplanned shutdowns and extended repair periods. We present a proof-of-concept…

Machine Learning · Computer Science 2026-01-13 Krishna Chaitanya Sunkara , Rambabu Konakanchi

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

We report on methods to monitor the transmission path in optical networks using a correlation-based OTDR technique with direct and coherent detection. A high probing symbol rate can provide picosecond-accuracy of the fiber propagation…

Signal Processing · Electrical Eng. & Systems 2023-06-07 Michael H. Eiselt , Florian Azendorf , Andre Sandmann , Florian Spinty , Mirko Lawin

Today, detection of anomalous events in civil infrastructures (e.g. water pipe breaks and leaks) is time consuming and often takes hours or days. Pipe breakage as one of the most frequent types of failure of water networks often causes…

Machine Learning · Computer Science 2017-03-14 Qing Han , Wentao Zhu , Yang Shi

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

The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state-of-the-art of leak…

Signal Processing · Electrical Eng. & Systems 2019-08-27 Uthman Baroudi , Anas Al-Roubaiey , Abdullah Devendiran

Leak detection in gas pipelines is an important and persistent problem in the Oil and Gas industry. This is particularly important as pipelines are the most common way of transporting natural gas. This research aims to study the ability of…

Machine Learning · Computer Science 2022-09-22 Adebayo Oshingbesan

Early detection of leaks in gas transmission systems is crucial for ensuring uninterrupted gas supply, enhancing operational efficiency, and minimizing environmental and economic risks. This study aims to develop an analytical method for…

Optimization and Control · Mathematics 2025-04-10 Ilgar Aliyev
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