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Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks

James-A. Goulet, Sylvain Coutu and Ian F.C. Smith

Article (2013)

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Cite this document: Goulet, J.-A., Coutu, S. & Smith, I. F.C. (2013). Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks. Advanced Engineering Informatics, 27(2), p. 261-269. doi:10.1016/j.aei.2013.01.001
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Abstract

Pressurized pipe networks used for fresh-water distribution can take advantage of recent advances in sensing technologies and data-interpretation to evaluate their performance. In this paper, a leak-detection and a sensor placement methodology are proposed based on leak-scenario falsification. The approach includes modeling and measurement uncertainties during the leak detection process. The performance of the methodology proposed is tested on a full-scale water distribution network using simulated data. Findings indicate that when monitoring the flow velocity for 14 pipes over the entire network (295 pipes) leaks are circumscribed within a few potential locations. The case-study shows that a good detectability is expected for leaks of 50 L/min or more. A study of measurement configurations shows that smaller leak levels could also be detected if additional pipes are instrumented.

Uncontrolled Keywords

System identification, leak detection, sensor placement, data interpretation, water distribution, uncertainty, error-domain model falsification

Open Access document in PolyPublie
Subjects: 1000 Génie civil > 1000 Génie civil
1000 Génie civil > 1001 Génie et gestion du bâtiment
Department: Département des génies civil, géologique et des mines
Research Center: Non applicable
Funders: Fonds national suisse de la recherche scientifique
Grant number: 200020-117670/1
Date Deposited: 15 Jan 2018 14:20
Last Modified: 24 Oct 2018 16:12
PolyPublie URL: https://publications.polymtl.ca/2876/
Document issued by the official publisher
Journal Title: Advanced Engineering Informatics (vol. 27, no. 2)
Publisher: Elsevier
Official URL: https://doi.org/10.1016/j.aei.2013.01.001

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