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Modeling and Monitoring of Pipelines and Networks pp 171–189Cite as

Features of Demand Patterns for Leak Detection in Water Distribution Networks

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Part of the book series: Applied Condition Monitoring ((ACM,volume 7))

Abstract

This chapter presents a data-driven based approach for detection of leaks in water distribution networks in which the demand is formed by a known periodic pattern plus a stochastic variable. The leak detection method is based on an adaptation of the dynamic principal component analysis (DPCA), and it is assumed that only pressures at selected consumption nodes are measured. Since the variables of water distribution networks (WDNs), even in normal conditions, are nonstationary and time-correlated the data are preprocessed with a periodic transformation previous to the application of DPCA. The proposed approach is validated with the Hanoi network model. The performance is evaluated with three indexes: the leak detection rate, the false alarm rate, and the delay of the detection with respect to the leak’s occurrence time. All of them are satisfactory for diverse leaks’ scenarios, and the proposed approach presents an improvement in the leak detection rate of approximately \(70\%\) as compared with the traditional PCA and DPCA methods.

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Acknowledgements

Project supported by the Mexican Government Scholarship Program for International Students. In addition, the authors acknowledge the support provided by DGAPA-UNAM IT100716, II-UNAM and Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE).

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Authors and Affiliations

  1. Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE), Calle 114, #11901 e/ Ciclovìa y Rotonda, Marianao, Havana, Cuba

    Marcos Quiñones-Grueiro & Orestes Llanes-Santiago

  2. Instituto de Ingeniería-UNAM Coyoacan, 04510, México D.F., Mexico

    Cristina Verde

Authors
  1. Marcos Quiñones-Grueiro
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  2. Cristina Verde
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  3. Orestes Llanes-Santiago
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Corresponding author

Correspondence to Marcos Quiñones-Grueiro .

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Editors and Affiliations

  1. Instituto de Ingeniería-UNAM, Ciudad Universitaria, Coyoacán, Mexico

    Cristina Verde

  2. Instituto de Ingeniería-UNAM, Ciudad Universitaria, Coyoacán, Mexico

    Lizeth Torres

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Quiñones-Grueiro, M., Verde, C., Llanes-Santiago, O. (2017). Features of Demand Patterns for Leak Detection in Water Distribution Networks. In: Verde, C., Torres, L. (eds) Modeling and Monitoring of Pipelines and Networks. Applied Condition Monitoring, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-55944-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-55944-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55943-8

  • Online ISBN: 978-3-319-55944-5

  • eBook Packages: EngineeringEngineering (R0)

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