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Structural Conditions for Leak Localization in Potential Flow Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
2024 (English)In: 2024 IEEE 63rd Conference on Decision and Control, CDC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 2355-2360Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we analyze the leak localization problem in potential flow networks. We present a general model encompassing various physical systems, for example, water distribution networks. In contrast to conventional water distribution network models, our model is neither restricted to any particular type of potential loss function nor to vertex leaks. We consider leak localization via vertex potential analysis, a general description of methods that work by comparing vertex potentials calculated under a leak location hypothesis to measured vertex potentials. We derive conditions on the graph structure of the network and the potential sensor placement, under which it is guaranteed that the leak can be limited, via vertex potential analysis, to a small set of locations. We suggest a bisection method to utilize our conditions. Our conditions are based on one-way edges in graphs, a concept that we introduce. In extension, our results can be used for sensor placement.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 2355-2360
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-361733DOI: 10.1109/CDC56724.2024.10886755ISI: 001445827202007Scopus ID: 2-s2.0-86000544042OAI: oai:DiVA.org:kth-361733DiVA, id: diva2:1948000
Conference
63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024
Note

Part of ISBN 9798350316339

QC 20250401

Available from: 2025-03-27 Created: 2025-03-27 Last updated: 2025-12-05Bibliographically approved

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Molnö, VictorSandberg, Henrik

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