Robust sensor placement for leak location: analysis and design

Author:

Blesa Joaquim12,Nejjari Fatiha1,Sarrate Ramon1

Affiliation:

1. Automatic Control Department, Universitat Politècnica de Catalunya (UPC), TR11, Rambla de Sant Nebridi, 10, 08222 Terrassa, Spain

2. Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer LLorens Artigas, 4-6, 08028 Barcelona, Spain

Abstract

In this paper, a nominal sensor placement methodology for leak location in water distribution networks is presented. To reduce the size and the complexity of the optimization problem a clustering technique is combined with the nominal sensor placement methodology. Some of the pressure sensor placement methods for leak detection and location in water distribution networks are based on the pressure sensitivity matrix analysis. This matrix depends on the network demands, which are nondeterministic, and the leak magnitudes, that are unknown. The robustness of the nominal sensor placement methodology is investigated against the fault sensitivity matrix uncertainty. Providing upon the dependency of the leak location procedure on the network operating point, the nominal sensor placement problem is then reformulated as a multi-objective optimization for which Pareto optimal solutions are generated. The robustness study as well as the resulting robust sensor placement methodology are illustrated by means of a small academic network as well as a district metered area in the Barcelona water distribution network.

Publisher

IWA Publishing

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology

Reference18 articles.

1. Instrumentation network design and upgrade for process monitoring and fault detection;Bagajewicz;AIChE J.,2004

2. Robust identification and fault diagnosis based on uncertain multiple input-multiple output linear parameter varying parity equations and zonotopes;Blesa;J. Process Control,2012

3. Extended-horizon analysis of pressure sensitivities for leak detection in water distribution networks;Casillas,2012

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