Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology

In 2016, a novel interrogation technique for phase-sensitive (Φ)OTDR was mathematically formalized and experimentally demonstrated, based on the use of a chirped-pulse as a probe, in an otherwise direct-detection-based standard setup: chirped-pulse (CP-)ΦOTDR. Despite its short lifetime, this method...

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Detalles Bibliográficos
Autores: Fernández-Ruiz, María R., Costa, Luis, Martins, Hugo F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/193521
Acceso en línea:http://hdl.handle.net/10261/193521
Access Level:acceso abierto
Palabra clave:Distributed acoustic sensing
Rayleigh scattering
Optical time-domain reflectometry
Chirped-pulse
Phase-sensitive OTDR
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network_name_str España
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dc.title.none.fl_str_mv Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
title Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
spellingShingle Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
Fernández-Ruiz, María R.
Distributed acoustic sensing
Rayleigh scattering
Optical time-domain reflectometry
Chirped-pulse
Phase-sensitive OTDR
title_short Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
title_full Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
title_fullStr Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
title_full_unstemmed Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
title_sort Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technology
dc.creator.none.fl_str_mv Fernández-Ruiz, María R.
Costa, Luis
Martins, Hugo F.
author Fernández-Ruiz, María R.
author_facet Fernández-Ruiz, María R.
Costa, Luis
Martins, Hugo F.
author_role author
author2 Costa, Luis
Martins, Hugo F.
author2_role author
author
dc.contributor.none.fl_str_mv European Commission
Agencia Estatal de Investigación (España)
Agencia Estatal de Investigación (España)
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Comunidad de Madrid
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Distributed acoustic sensing
Rayleigh scattering
Optical time-domain reflectometry
Chirped-pulse
Phase-sensitive OTDR
topic Distributed acoustic sensing
Rayleigh scattering
Optical time-domain reflectometry
Chirped-pulse
Phase-sensitive OTDR
description In 2016, a novel interrogation technique for phase-sensitive (Φ)OTDR was mathematically formalized and experimentally demonstrated, based on the use of a chirped-pulse as a probe, in an otherwise direct-detection-based standard setup: chirped-pulse (CP-)ΦOTDR. Despite its short lifetime, this methodology has now become a reference for distributed acoustic sensing (DAS) due to its valuable advantages with respect to conventional (i.e., coherent-detection or frequency sweeping-based) interrogation strategies. Presenting intrinsic immunity to fading points and using direct detection, CP-ΦOTDR presents reliable high sensitivity measurements while keeping the cost and complexity of the setup bounded. Numerous technique analyses and contributions to study/improve its performance have been recently published, leading to a solid, highly competitive and extraordinarily simple method for distributed fibre sensing. The interesting sensing features achieved in these last years CP-ΦOTDR have motivated the use of this technology in diverse applications, such as seismology or civil engineering (monitoring of pipelines, train rails, etc.). Besides, new areas of application of this distributed sensor have been explored, based on distributed chemical (refractive index) and temperature-based transducer sensors. In this review, the principle of operation of CP-ΦOTDR is revisited, highlighting the particular performance characteristics of the technique and offering a comparison with alternative distributed sensing methods (with focus on coherent-detection-based ΦOTDR). The sensor is also characterized for operation in up to 100 km with a low cost-setup, showing performances close to the attainable limits for a given set of signal parameters [≈tens-hundreds of pe/sqrt(Hz)]. The areas of application of this sensing technology employed so far are briefly outlined in order to frame the technology.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
2019
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/193521
url http://hdl.handle.net/10261/193521
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dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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spelling Distributed acoustic sensing using chirped-pulse phase-sensitive OTDR technologyFernández-Ruiz, María R.Costa, LuisMartins, Hugo F.Distributed acoustic sensingRayleigh scatteringOptical time-domain reflectometryChirped-pulsePhase-sensitive OTDRIn 2016, a novel interrogation technique for phase-sensitive (Φ)OTDR was mathematically formalized and experimentally demonstrated, based on the use of a chirped-pulse as a probe, in an otherwise direct-detection-based standard setup: chirped-pulse (CP-)ΦOTDR. Despite its short lifetime, this methodology has now become a reference for distributed acoustic sensing (DAS) due to its valuable advantages with respect to conventional (i.e., coherent-detection or frequency sweeping-based) interrogation strategies. Presenting intrinsic immunity to fading points and using direct detection, CP-ΦOTDR presents reliable high sensitivity measurements while keeping the cost and complexity of the setup bounded. Numerous technique analyses and contributions to study/improve its performance have been recently published, leading to a solid, highly competitive and extraordinarily simple method for distributed fibre sensing. The interesting sensing features achieved in these last years CP-ΦOTDR have motivated the use of this technology in diverse applications, such as seismology or civil engineering (monitoring of pipelines, train rails, etc.). Besides, new areas of application of this distributed sensor have been explored, based on distributed chemical (refractive index) and temperature-based transducer sensors. In this review, the principle of operation of CP-ΦOTDR is revisited, highlighting the particular performance characteristics of the technique and offering a comparison with alternative distributed sensing methods (with focus on coherent-detection-based ΦOTDR). The sensor is also characterized for operation in up to 100 km with a low cost-setup, showing performances close to the attainable limits for a given set of signal parameters [≈tens-hundreds of pe/sqrt(Hz)]. The areas of application of this sensing technology employed so far are briefly outlined in order to frame the technology.This work was supported by project FINESSE MSCA-ITN-ETN-722509; the DOMINO Water JPI project under the WaterWorks2014 cofounded call by EC Horizon 2020 and Spanish MINECO; Comunidad de Madrid and FEDER Program under grant SINFOTON2-CM: P2018/NMT-4326; the Spanish Government under projects TEC2015-71127-C2-2-R and RTI2018-097957-B-C31. M.R.F.M and H.F.M. acknowledge financial support from the Spanish MICINN under contracts no. FJCI-2016-27881 and IJCI-2017-33856, respectively.Peer reviewedMultidisciplinary Digital Publishing InstituteEuropean CommissionAgencia Estatal de Investigación (España)Agencia Estatal de Investigación (España)Ministerio de Economía y Competitividad (España)Ministerio de Ciencia, Innovación y Universidades (España)Comunidad de MadridConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2019201920192019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/193521reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#IJCI-2017-33856/AEI/10.13039/501100011033RTI2018-097957-B-C31/AEI/10.13039/501100011033info:eu-repo/grantAgreement/EC/H2020/722509info:eu-repo/grantAgreement/EC/H2020/641715P2018/NMT-4326/SINFOTON2-CMinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2015-71127-C2-2-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FJCI-2016-27881info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097957-B-C31info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/IJCI-2017-33856https://doi.org/10.3390/s19204368Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1935212026-05-22T06:33:51Z
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