ID:
technologies-182
Name:
Single and double-leak location system
Technology:
Machine learning
Type:
Software application
Data used as input:
Flowrate-dependent pressure residuals vectors
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
A methodology for single and double-leak location in pressurised water distribution networks using flowrate-dependent pressure residuals vectors.
Paper DOI (if available):
10.4995/wdsa-ccwi2022.2022.14749
Project ID (if available):
820985
Project Acronym (if available):
NAIADES
Service description:
Locates single and double leaks in pressurized water distribution networks.
