Parametric Inversion of Brillouin Spectra to Enhance the Accuracy of Distributed Strain Measurement
| Autor: | Sylvain Blairon, Edouard Buchoud, Alexandre Girard, Jean-Marie Henault, Jerome Mars, Guy d'Urso, Valeriu Vrabie |
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| Přispěvatelé: | EDF (EDF), GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Département Matériaux et Structures (IFSTTAR/MAST), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Paris-Est, Mars, Jerome |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Regional geology
Optical fiber strain sensor [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Acoustics 0211 other engineering and technologies Mineralogy 02 engineering and technology Brillouin spectra law.invention 020210 optoelectronics & photonics [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing law 0202 electrical engineering electronic engineering information engineering [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing 021101 geological & geomatics engineering Parametric statistics Environmental geology Optical fiber cable Hydrogeology parametric inverse method optical fiber sensors Engineering geology Brillouin zone monitoring of engineering installations [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Geology |
| Zdroj: | EAGE 2014-76th European Association of Geoscientists and Engineers Conference and Exhibition EAGE 2014-76th European Association of Geoscientists and Engineers Conference and Exhibition, Jun 2014, Amsterdam, Netherlands. pp.Th G102 09 |
| Popis: | International audience; To ensure stability and durability of engineering structure in natural soil, optical fiber sensors have gained interest over last decade. In addition to conventional geophysical sensors, Brillouin spectra based sensor enables to perform distributed strain measurement. Its algorithm performs a strain measurement with a 40cm spatial sampling over several kilometers. The monitoring of engineering installations needs a centimeter spatial sampling and a better strain accuracy. Previous works highlighted that the industrialized algorithm has great limitation for the exploitation of the local information contained into Brillouin spectra. Indeed, based on its asymmetry and broadening, it is possible to estimate local Brillouin frequencies with a better strain accuracy. We propose here to apply a parametric inverse method using L-curve criterion to estimate the strain with a 5cm spatial sampling. To validate this method, a one-to-one scale experiment has been implemented by optical fiber cable at several depths. Comparing the distributed strain provided by the Brillouin based sensor and our algorithm with a reference strain sensor, the proposed algorithm successfully fulfills the combination of a 5cm spatial sampling over kilometers and a high strain accuracy. |
| Databáze: | OpenAIRE |
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