An Approach for Real-time Levee Health Monitoring Using Signal Processing Methods
| Authors |
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|---|---|
| Publication date | 2013 |
| Journal | Procedia Computer Science |
| Event | International Conference on Computational Science, ICCS 2013 |
| Volume | Issue number | 18 |
| Pages (from-to) | 2357-2366 |
| Organisations |
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| 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. |
| Document type | Article |
| Note | Proceedings title: International Conference on Computational Science, ICCS 2013: Barcelona, Spain, June 5- June 7, 2013 Publisher: Elsevier Place of publication: Amsterdam Editors: V. Alexandrov, M. Lees, V. Krzhizhanovskaya, J. Dongarra, P.M.A. Sloot |
| Language | English |
| Published at | https://doi.org/10.1016/j.procs.2013.05.407 |
| Downloads |
Approach for Real-time Levee Health Monitoring
(Final published version)
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