Projekter pr. år
Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we consider the problem of generating a set of residuals for detecting and potentially isolating leakages in water supply networks with multiple inlets using reduced network models. Using a reduced order model of the network, the expected behaviour of the network can be estimated and then compared with actual measurements obtained from the network. The result of this comparison is a set of residuals which can be used to isolate a potential leakage. As the reduced order model is adaptive based on measurements from the network, the method is plug-and-play commissionable. In the current paper, we only consider sudden leakages as the model adaptation means that slowly developing leakages will be adapted into the parameters of the model.
|Status||Udgivet - 2018|
|Begivenhed||10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Warsaw, Polen|
Varighed: 29 aug. 2018 → 31 aug. 2018
|Konference||10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes|
|Periode||29/08/2018 → 31/08/2018|
FingeraftrykDyk ned i forskningsemnerne om 'Residual generation for leakage signatures in water supply networks with multiple inlets'. Sammen danner de et unikt fingeraftryk.
- 1 Afsluttet
01/01/2017 → 31/12/2018
Projekter: Projekt › Forskning