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    Maximum Likelihood Estimation to Localize Leaks in Water Distribution Networks

    Source: Journal of Pipeline Systems Engineering and Practice:;2023:;Volume ( 014 ):;issue: 004::page 04023038-1
    Author:
    Pranav Agrawal
    ,
    Stan Fong
    ,
    Dirk Friesen
    ,
    Sriram Narasimhan
    DOI: 10.1061/JPSEA2.PSENG-1494
    Publisher: ASCE
    Abstract: Leaks cause significant water loss in underground water distribution networks, which makes it critical that utilities quickly detect, localize, and repair them. Acoustic leak detection and localization methods using hydrophones and accelerometers are the most studied technology; however, most studies for localizing leaks have focused on simple straight pipe segments using the cross-correlation technique. Leak localization in a network of pipes is significantly more challenging, and this problem remains largely unexplored in the literature. The difficulty arises because the cross-correlation between two acoustic sensor measurements yields multiple time delays corresponding to multiple paths between the acoustic source and the sensors in a network. Hence, the problem of localizing the leak correctly requires taking such multiple paths into account. In this paper, we propose a new method for localizing leaks in a network of pipes. Our method operates on multiple time difference of arrival (TDOA) by calculating the cross-correlation of the signals from different pairs of hydrophone sensors. A conditional probability distribution function is calculated corresponding to each TDOA, and the leak location is found based on the principle of maximum likelihood estimation. We also formally propose a new term called interior points where we define the conditions in which leaks can be pinpointed or only localized to the closest pipe joint. Using simulation studies, the proposed method is shown to accurately pinpoint leaks for the cases when the simulated leak satisfies appropriate conditions. The method is also validated by conducting experiments on a laboratory test bed where a simulated leak is pinpointed to within 10 cm of the actual leak location.
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      Maximum Likelihood Estimation to Localize Leaks in Water Distribution Networks

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296207
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    contributor authorPranav Agrawal
    contributor authorStan Fong
    contributor authorDirk Friesen
    contributor authorSriram Narasimhan
    date accessioned2024-04-27T20:54:09Z
    date available2024-04-27T20:54:09Z
    date issued2023/11/01
    identifier other10.1061-JPSEA2.PSENG-1494.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296207
    description abstractLeaks cause significant water loss in underground water distribution networks, which makes it critical that utilities quickly detect, localize, and repair them. Acoustic leak detection and localization methods using hydrophones and accelerometers are the most studied technology; however, most studies for localizing leaks have focused on simple straight pipe segments using the cross-correlation technique. Leak localization in a network of pipes is significantly more challenging, and this problem remains largely unexplored in the literature. The difficulty arises because the cross-correlation between two acoustic sensor measurements yields multiple time delays corresponding to multiple paths between the acoustic source and the sensors in a network. Hence, the problem of localizing the leak correctly requires taking such multiple paths into account. In this paper, we propose a new method for localizing leaks in a network of pipes. Our method operates on multiple time difference of arrival (TDOA) by calculating the cross-correlation of the signals from different pairs of hydrophone sensors. A conditional probability distribution function is calculated corresponding to each TDOA, and the leak location is found based on the principle of maximum likelihood estimation. We also formally propose a new term called interior points where we define the conditions in which leaks can be pinpointed or only localized to the closest pipe joint. Using simulation studies, the proposed method is shown to accurately pinpoint leaks for the cases when the simulated leak satisfies appropriate conditions. The method is also validated by conducting experiments on a laboratory test bed where a simulated leak is pinpointed to within 10 cm of the actual leak location.
    publisherASCE
    titleMaximum Likelihood Estimation to Localize Leaks in Water Distribution Networks
    typeJournal Article
    journal volume14
    journal issue4
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1494
    journal fristpage04023038-1
    journal lastpage04023038-12
    page12
    treeJournal of Pipeline Systems Engineering and Practice:;2023:;Volume ( 014 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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