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Relevant bibliographies by topics / Water leak detection

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Journal articles

Academic literature on the topic 'Water leak detection'

Author: Grafiati

Published: 21 February 2023

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Journal articles on the topic "Water leak detection"

1

Fezai, Radhia, Majdi Mansouri, Kamaleldin Abodayeh, et al. "Online statistical hypothesis test for leak detection in water distribution networks." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 8665–81. http://dx.doi.org/10.3233/jifs-191524.

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This paper aims at improving the operation of the water distribution networks (WDN) by developing a leak monitoring framework. To do that, an online statistical hypothesis test based on leak detection is proposed. The developed technique, the so-called exponentially weighted online reduced kernel generalized likelihood ratio test (EW-ORKGLRT), is addressed so that the modeling phase is performed using the reduced kernel principal component analysis (KPCA) model, which is capable of dealing with the higher computational cost. Then the computed model is fed to EW-ORKGLRT chart for leak detection

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2

Weyer, Erik, and Georges Bastin. "Leak detection in open water channels." IFAC Proceedings Volumes 41, no. 2 (2008): 7913–18. http://dx.doi.org/10.3182/20080706-5-kr-1001.01337.

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3

Ahmad Fuad, Z., H. S. Eddy, Y. Badronnisa, and I. Syazwani. "Water leak detection method in water distribution network." IOP Conference Series: Earth and Environmental Science 357 (November 25, 2019): 012033. http://dx.doi.org/10.1088/1755-1315/357/1/012033.

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4

Hunaidi, Osama, and Alex Wang. "A new system for locating leaks in urban water distribution pipes." Management of Environmental Quality: An International Journal 17, no. 4 (2006): 450–66. http://dx.doi.org/10.1108/14777830610700928.

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PurposeTo introduce a new, low‐cost and easy‐to‐use leak detection system to help water utilities improve their effectiveness in locating leaks. The paper also presents an overview of leakage management strategies including acoustic and other leak detection techniques.Design/methodology/approachThe design approach was based on the use personal computers as a platform and enhanced signal processing algorithms. This eliminated the need for a major component of the usual hardware of leak pinpointing correlators which reduced the system's cost; made it easy to use, and improved the effectiveness o

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5

Bykerk, Lili, and Jaime Valls Miro. "Detection of Water Leaks in Suburban Distribution Mains with Lift and Shift Vibro-Acoustic Sensors." Vibration 5, no. 2 (2022): 370–82. http://dx.doi.org/10.3390/vibration5020021.

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Leaks in Water Distribution Networks (WDNs) account for a large proportion of Non-Revenue Water (NRW) for utilities worldwide. Typically, a leak is only confirmed once water surfaces, allowing the leak to be traced; however, a high percentage of leaks may never surface, incurring large water losses and costs for utilities. Active Leak Detection (ALD) methods can be used to detect hidden leaks; however, the success of such methods is highly dependent on the available detection instrumentation and the experience of the operator. To aid in the detection of both hidden and surfacing leaks, deploym

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6

Khalifa, Atia E. "Pressure variation and effective sensing zone around small leaks inside water pipelines for reliable leak detection." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 231, no. 3 (2015): 590–99. http://dx.doi.org/10.1177/0954408915618586.

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Detecting and locating small leaks in the water distribution networks save water and help in making critical decisions about the network and the infrastructure. In this work, inside-pipe pressure measurements are used to evaluate the local variation of the pressure around small circular leaks as compared to main pipeline pressure, for reliable leak detection. The technique is working for pressurized pipelines and may be used for liquids and gases. In addition, since large leaks are easy to find, the attention is given to detecting small leaks, which are difficult to be detected using the comme

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7

Marmarokopos, Konstantinos, Dimitrios Doukakis, George Frantziskonis, and Markos Avlonitis. "Leak Detection in Plastic Water Supply Pipes with a High Signal-to-Noise Ratio Accelerometer." Measurement and Control 51, no. 1-2 (2018): 27–37. http://dx.doi.org/10.1177/0020294018758526.

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A method for detecting leaks in plastic water supply pipes through analysis of the pipe’s surface vibration using a high signal-to-noise ratio accelerometer is proposed and examined. The method involves identification of the changes in vibration frequencies caused on the pipe by the leak and is developed from and examined with respect to detailed experiments. The results are promising, showing that leak detection in plastic pipes is possible provided that the sensor is placed at a small distance from the leak, since wave attenuation in plastic is strong. The results indicate that the methodolo

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8

Choi, Jeongwook, Gimoon Jeong, and Doosun Kang. "Multiple Leak Detection in Water Distribution Networks Following Seismic Damage." Sustainability 13, no. 15 (2021): 8306. http://dx.doi.org/10.3390/su13158306.

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Water pipe leaks due to seismic damage are more difficult to detect than bursts, and such leaks, if not repaired in a timely manner, can eventually reduce supply pressure and generate both pollutant penetration risks and economic losses. Therefore, leaks must be promptly identified, and damaged pipes must be replaced or repaired. Leak-detection using equipment in the field is accurate; however, it is a considerably labor-intensive process that necessitates expensive equipment. Therefore, indirect leak detection methods applicable before fieldwork are necessary. In this study, a computer-based,

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9

Zeng, Wei, Benjamin Cazzolato, Martin Lambert, Mark Stephens, and Jinzhe Gong. "Coherenceogram for leak detection in water pipes." Journal of Sound and Vibration 530 (July 2022): 116979. http://dx.doi.org/10.1016/j.jsv.2022.116979.

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10

Fan, Harris, Salman Tariq, and Tarek Zayed. "Acoustic leak detection approaches for water pipelines." Automation in Construction 138 (June 2022): 104226. http://dx.doi.org/10.1016/j.autcon.2022.104226.

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