Publication

Double-pulse Brillouin distributed optical fiber sensors: analytical model and experimental validation

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Sang Hoon Chin
2012
Conference Papers

Résumé

An analytical model is presented to describe the behavior of the acoustic wave, probe signal and Brillouin gain in double-pulse Brillouin optical time-domain analysis (DP-BOTDA) sensors. The proposed model is a tool that provides a full physical insight into the Brillouin interaction occurring in this double-pulse configuration, and allows the optimization and complete analysis of the system. The proposed solution is experimentally validated in a long-range system, which is optimized to demonstrate experimentally, for the first time, the capability of DP-BOTDA to achieve a 11 km sensing distance with 20 cm spatial resolution and a frequency resolution of 0.5 MHz.

Source officielle

https://infoscience.epfl.ch/entities/publication/efc1dceb-f1dc-4174-a7fa-f7ac98aa95bd

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Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Sang Hoon Chin
2012
Conference Papers

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/efc1dceb-f1dc-4174-a7fa-f7ac98aa95bd

À propos de ce résultat

Concepts associés (9)

Validation croisée

La validation croisée () est, en apprentissage automatique, une méthode d’estimation de fiabilité d’un modèle fondée sur une technique d’échantillonnage. Supposons posséder un modèle statistique avec un ou plusieurs paramètres inconnus, et un ensemble de données d'apprentissage sur lequel on peut apprendre (ou « entraîner ») le modèle. Le processus d'apprentissage optimise les paramètres du modèle afin que celui-ci corresponde le mieux possible aux données d'apprentissage.

Conceptual model

A conceptual model is a representation of a system. It consists of concepts used to help people know, understand, or simulate a subject the model represents. In contrast, a physical model focuses on a physical object such as a toy model that may be assembled and made to work like the object it represents. The term may refer to models that are formed after a conceptualization or generalization process. Conceptual models are often abstractions of things in the real world, whether physical or social.

Time–frequency representation

A time–frequency representation (TFR) is a view of a signal (taken to be a function of time) represented over both time and frequency. Time–frequency analysis means analysis into the time–frequency domain provided by a TFR. This is achieved by using a formulation often called "Time–Frequency Distribution", abbreviated as TFD. TFRs are often complex-valued fields over time and frequency, where the modulus of the field represents either amplitude or "energy density" (the concentration of the root mean square over time and frequency), and the argument of the field represents phase.

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Publications associées (2)

Time-Frequency Characterization of Resting-State Brain Function Reveals Overlapping Components with Specific Topology and Frequency Content

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Even at rest, functional magnetic resonance imaging (fMRI) data displays exquisitely complex temporal dynamics. Here, we deployed a time-frequency analysis to track the modulus of fMRI signals over time, across space (a set of 341 brain areas) and frequenc ...

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Investigation of two-layered turbid media with time-resolved reflectance

Hubert van den Bergh, Georges Wagnières

Light propagation in 2-layered turbid media that have an infinitely thick 2nd layer is studied with time-resolved reflectance. The authors used a soln. of the diffusion equation for this geometry to show that it is possible to derive the absorption and the ...

1998