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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khan, A.A. Vrabie, V. D'Urso, G. Mars, J.I. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. Image & Signal Process., Grenoble INP, Grenoble (Khan, A.A.; Mars, J.I.) || Centre de Rech. en STIC, Univ. of Reims, Reims (Vrabie, V.) || Direction R&D, Electricite de France, Chatou (D'Urso, G.) |
| Abstract | The detection of water leakages in dikes using distributed temperature sensors is an interesting prospect due to the commercial viability of these optical fiber based sensors. The acquired temperature data, being not directly interpretable, requires intervention of advanced signal processing techniques. In this work, we propose a system for the identification of singularities such as existing dike structures and water leakages. The distances where singularities exist show temperature variations over the course of a day which are different from the nonsingular zones. The different nonsingular zones though show a similar temperature variation trend. The proposed system estimates this reference trend as the most coherent component of the Singular Value Decomposition applied on daily data. The corresponding SVD residue subspace thus represents the deviation from the reference subspace and thus contains information on singularities. The $L_{2}$ norm of this residue is a good discrimination measure for identification of these singularities. |
| Starting Page | 1931 |
| Ending Page | 1936 |
| File Size | 1235354 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424417674 |
| ISSN | 1553572X |
| DOI | 10.1109/IECON.2008.4758251 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Levee Computerized monitoring Temperature sensors Land surface temperature Optical fibers Signal processing Leak detection Optical fiber sensors Spatial resolution Singular value decomposition |
| Content Type | Text |
| Resource Type | Article |
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