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Pressure Interpolation in Water Distribution Networks by Using Gaussian Processes: Application to Leak Diagnosis.
- Source :
- Processes; Jun2024, Vol. 12 Issue 6, p1147, 15p
- Publication Year :
- 2024
-
Abstract
- This work presents the reconstruction of the pressure head map of a water distribution system (WDS). This approach relies on historical data collected from a reduced number of sensors placed at some nodes of the WDS. Thus, a Gaussian regression process is then applied to estimate the pressure head at those nodes without a sensor, which allows the reconstruction of the pressure map for the whole network. Then, for leak diagnosis purposes, a dataset of pressure head maps of the WDN is created considering leaky scenarios, and a correlation method is applied to estimate the leak location. Then, for clarity, the Hanoi network is used to evaluate the performance of this leak diagnosis strategy in a simulation environment, assuming the availability of only three sensors. The results showed the potential for pressure head map reconstruction and leak localization. [ABSTRACT FROM AUTHOR]
- Subjects :
- GAUSSIAN processes
WATER distribution
WATER leakage
WATER pressure
KRIGING
DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Volume :
- 12
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Processes
- Publication Type :
- Academic Journal
- Accession number :
- 178193859
- Full Text :
- https://doi.org/10.3390/pr12061147