Residual generation for leakage signatures in water supply networks with multiple inlets

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Resumé

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.

OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind51
Udgave nummer24
Sider (fra-til)717-722
Antal sider6
ISSN2405-8963
DOI
StatusUdgivet - 2018
Begivenhed10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - Warsaw, Polen
Varighed: 29 aug. 201831 aug. 2018

Konference

Konference10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes
LandPolen
ByWarsaw
Periode29/08/201831/08/2018

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Water supply
Potable water
Water

Citer dette

@inproceedings{dbc07afca22641148a31cc2bdc707128,
title = "Residual generation for leakage signatures in water supply networks with multiple inlets",
abstract = "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.",
keywords = "Large-Scale Hydraulic Networks, Leakage Isolation, Water Supply Systems",
author = "Jensen, {Tom N{\o}rgaard} and Kalles{\o}e, {Carsten Skovmose} and Rafal Wisniewski and Bendtsen, {Jan Dimon}",
year = "2018",
doi = "10.1016/j.ifacol.2018.09.654",
language = "English",
volume = "51",
pages = "717--722",
journal = "I F A C Workshop Series",
issn = "1474-6670",
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}

Residual generation for leakage signatures in water supply networks with multiple inlets. / Jensen, Tom Nørgaard; Kallesøe, Carsten Skovmose; Wisniewski, Rafal; Bendtsen, Jan Dimon.

I: IFAC-PapersOnLine, Bind 51, Nr. 24, 2018, s. 717-722.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Residual generation for leakage signatures in water supply networks with multiple inlets

AU - Jensen, Tom Nørgaard

AU - Kallesøe, Carsten Skovmose

AU - Wisniewski, Rafal

AU - Bendtsen, Jan Dimon

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Large-Scale Hydraulic Networks

KW - Leakage Isolation

KW - Water Supply Systems

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