Leak detection, size estimation and localization in branched pipe flows

We design a leak detection, size estimation and localization algorithm for a branched pipe system, requiring flow and pressure measurements to be taken at the inlet and outlet boundaries, only. By showing that the pipe system model can be mapped into a system of coupled, linear hyperbolic PDEs (partial differential equations), with the parametric uncertainties caused by the leak appearing in a particular way, established methods can be applied to obtain state and parameter estimates. Analyzing the structure of the parametric uncertainties that appear in the obtained adaptive observer canonical form, we prove that total leak size can be estimated regardless of how leaks are distributed in the pipe network. Moreover, any number of point leaks can be located, provided they occur sufficiently separated in time. (c) 2022 The Author(s). Published by Elsevier Ltd.& nbsp;& nbsp;

Automated summary

We propose a leak detection, size estimation, and localization algorithm for a branched pipe system, which only requires flow and pressure measurements at the inlet and outlet boundaries. By analyzing the structure of parameter uncertainties, we prove that the total leak size can be estimated and any number of point leaks can be located.