Detailed Leak Localization in Water Distribution Networks Using Random Forest Classifier and Pipe Segmentation

Detailed Leak Localization in Water Distribution Networks Using Random Forest Classifier and Pipe Segmentation

In this paper, a Random Forest classifier was used to predict leak locations for two differently sized water distribution networks based on pressure sensor measurements. The prediction model is trained on simulated leak scenarios with randomly chosen parameters - leak location, leak size, and base n...

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Bibliographic Details
Main Authors: Ivana Lucin, Zoran Carija, Sinisa Druzeta, Boze Lucin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Leak localization
pipe segmentation
prediction modeling
random forest
water distribution networks
Online Access:https://ieeexplore.ieee.org/document/9622760/

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