Abstract
Early leakage detection and isolation are of paramount importance to the maintenance and resilience
of the water distribution system (WDS). Efficient and accurate leakage detection and isolation
algorithms could support practitioners to optimize WDS design and operation. Modern WDS, as
equipped with supervisory control and data acquisition (SCADA), could record nodal measurements
to facilitate training, validation, and selection of both mechanism-based and data-driven models.
In this study for the battle of the leakage detection and isolation methods, a hybrid approach based
on benchmark simulation and the ensemble multivariate changepoint detection (EMCPD) is proposed
to detect leakage occurrences. Bilinear bivariate spatial interpolation for irregular spaced data and
two-sample one-sided Student’s t-test is further invocated to isolate leakage sites.
Original language | English (US) |
---|---|
Title of host publication | Battle of the Leakage Detection and Isolation Methods (BattLeDIM) 2020 Workshop |
Publisher | Zenodo |
DOIs | |
State | Published - Jun 2 2020 |
Bibliographical note
KAUST Repository Item: Exported on 2021-08-10Acknowledged KAUST grant number(s): OSR-2019-CRG7-3800
Acknowledgements: This publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2019-CRG7-3800.