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

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

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.

Keywords:
System identification
Leak detection
Sensor placement
Data interpretation
Water distribution

Published in: Advanced Engineering Informatics (Volume 27, Issue 2, January 2013)

Publisher: Elsevier

ISSN Information: 1474-0346

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

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