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    Efficient dynamic events discrimination technique for fiber distributed Brillouin sensors

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    Identificadores
    URI: http://hdl.handle.net/10902/849
    DOI: 10.1364/OE.19.018917
    ISSN: 1094-4087
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    Author
    Galíndez Jamioy, Carlos Augusto; Madruga Saavedra, Francisco JavierAutoridad Unican; López Higuera, José MiguelAutoridad Unican
    Date
    2011-09-26
    Derechos
    © 2011 Optical Society of America. This paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/OE.19.018917. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
    Publicado en
    Optics Express, 2011, 19(20), 18917-18926
    Publisher
    The Optical Society (OSA)
    Enlace a la publicación
    https://doi.org/10.1364/OE.19.018917
    Abstract:
    A technique to detect real time variations of temperature or strain in Brillouin based distributed fiber sensors is proposed and is investigated in this paper. The technique is based on anomaly detection methods such as the RX-algorithm. Detection and isolation of dynamic events from the static ones are demonstrated by a proper processing of the Brillouin gain values obtained by using a standard BOTDA system. Results also suggest that better signal to noise ratio, dynamic range and spatial resolution can be obtained. For a pump pulse of 5 ns the spatial resolution is enhanced, (from 0.541 m obtained by direct gain measurement, to 0.418 m obtained with the technique here exposed) since the analysis is concentrated in the variation of the Brillouin gain and not only on the averaging of the signal along the time.
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    • D50 Artículos [224]
    • D50 Proyectos de Investigación [306]

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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España