Thursday , December 13 2018

Leakage Detection and Localisation in Drinking Water Distribution Networks by MultiRegional PCA

Kazimierz DUZINKIEWICZ1, Adam BOROWA1, Krzysztof MAZUR1, Michal GROCHOWSKI1, Mietek A. BRDYS2, Krzysztof JEZIOR1
1 Faculty of Electrical and Control Engineering,
Gdansk University of Technology
ul. Narutowicza 11/12, 80-952 Gdansk, Poland
{k.duzinkiewicz; aborowa; k.mazur; m.grochowski; m.brdysl; k.jezior}@ely.pg.gda.pl
2 Department of Electronic, Electrical and Computer Engineering,

University of Birmingham, Birmingham B15 2TT, U.K.
m.brdys@bham.ac.uk

Abstract: Monitoring is one of the most important steps in advanced control of complex dynamic systems. Precise information about systems behaviour, including faults indicating, enables for efficient control. The paper describes an approach to detection and localisation of pipe leakage in Drinking Water Distribution Systems (DWDS) representing complex and distributed dynamic system of large scale. Proposed MultiRegional Principal Component Analysis (MR-PCA) skilfully takes full advantage of well known PCA method and enables not only for detecting the leakages but also supports their localisation. The main idea of MR-PCA is presented on example of small water network. Next the method is applied to DWDS in Chojnice, northern Poland. DWDS Chojnice is decomposed into suitable subnetworks what makes that the monitoring process is easier and require less sensors. The subnetworks and corresponding PCA monitoring models are selected based on the network operational knowledge and information regarding its topology.

Keywords: Monitoring, large-scale systems, network systems, fault detection algorithms, water leakage detection, statistical methods.

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CITE THIS PAPER AS:
Kazimierz DUZINKIEWICZ, Adam BOROWA, Krzysztof MAZUR, Michal GROCHOWSKI, Mietek A. BRDYS, Krzysztof JEZIOR, Leakage Detection and Localisation in Drinking Water Distribution Networks by MultiRegional PCA, Studies in Informatics and Control, ISSN 1220-1766, vol. 17 (2), pp. 135-152, 2008.