Elsevier

Procedia Computer Science

Volume 18, 2013, Pages 2357-2366
Procedia Computer Science

An Approach for Real-time Levee Health Monitoring Using Signal Processing Methods

https://doi.org/10.1016/j.procs.2013.05.407Get rights and content
Under a Creative Commons license
open access

Abstract

We developed a levee health monitoring system within the UrbanFlood project funded under the EU 7th Framework Programme. A novel real-time levee health assessment Artificial Intelligence system is developed using data-driven methods. The system is implemented in the UrbanFlood early warning system. We present the application of dedicated signal processing methods for detection of leakage through the water retaining dam and subsequent analysis of the measurements collected from one of the UrbanFlood pilot levees at the Rhine river in Germany.

Keywords

signal analysis
levee health monitoring
UrbanFlood project
leakage detection
one-side classification

Cited by (0)

Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science.