Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

In this paper, a hybrid leak localization approach in WDNs is proposed, combining both model-based and data-driven modeling. Pressure heads of leak scenarios are simulated using a hydraulic model, and then used to train a machine-learning-based leak localization model. A key element of the methodolo...

Full description

Bibliographic Details
Main Authors: Ganjour Mazaev, Michael Weyns, Filip Vancoillie, Guido Vaes, Femke Ongenae, Sofie Van Hoecke
Format: Article
Language:English
Published: IWA Publishing 2023-01-01
Series:Water Supply
Subjects:
hybrid
hydraulic model
leak localization
machine learning
pressure head
water distribution network
Online Access:http://ws.iwaponline.com/content/23/1/162

Internet

http://ws.iwaponline.com/content/23/1/162

Similar Items