Application of Leakage Localization Framework for Water Networks with Multiple Inlets in Smart Water Infrastructures Laboratory at AAU

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4 Citations (Scopus)
19 Downloads (Pure)

Abstract

In this paper we extend the work presented in Rathore et al. (2021) to leakage localization in water distribution networks with multiple inlets. A self-adaptive reduced order model is used to estimate network pressures under nominal condition. These estimated pressures are compared to the measured network pressure to generate pressure residuals. Further, the pressure residuals are compared to expected residual signatures for leakage localization. For the reduced order model to be valid for water distribution network with multiple inlets, a control requirement is to be placed on the network. In this paper we also present the test results from a laboratory setup, which is present at Aalborg University, Denmark, to demonstrate the localization framework.
Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume55
Issue number6
Pages (from-to)451-457
Number of pages7
ISSN2405-8963
DOIs
Publication statusPublished - 2022
Event11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022 - Pafos, Cyprus
Duration: 8 Jun 202210 Jun 2022
Conference number: 11

Conference

Conference11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022
Number11
Country/TerritoryCyprus
CityPafos
Period08/06/202210/06/2022

Keywords

  • Fault detection
  • data-driven model
  • graph theory
  • isolation
  • sensitivity analysis
  • water resources

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