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dc.contributor.authorTangudu R.en_US
dc.contributor.authorSahu P.K.en_US
dc.date.accessioned2020-01-16T06:31:53Z-
dc.date.available2020-01-16T06:31:53Z-
dc.date.issued2020-
dc.identifier.urihttp://dx.doi.org/10.1007/978-981-13-6159-3_20-
dc.identifier.urihttp://10.10.32.48:8080/jspui/handle/2008/2521-
dc.description.abstractThis paper presents, a detailed analysis on the performance of a Brillouin optical correlation domain reflectometry (BOCDR) based distributed strain sensing (BOCDR-DSS) system. Strain resolution and spatial resolution decide the performance of BOCDR-DSS system. Particle swarm optimization (PSO) algorithm is used in this paper to enhance the above-mentioned performance of the available BOCDR-DSS system. With the help of PSO evolutionary algorithm, Brillouin frequency shift (BFS) error of the considered sensing system has been minimized. Finally, 4 m-long strained silica optical fiber (SOF) section over a 700 m fiber under test is successfully detected with ~0.0011% strain resolution and ~43 cm spatial resolution. Simulation was carried out using MATLAB version 15.0. � 2020, Springer Nature Singapore Pte Ltd.en_US
dc.language.isoenen_US
dc.subjectBrillouin frequency shift (BFS)en_US
dc.subjectBrillouin optical correlation domain reflectometry (BOCDR)en_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectSpontaneous Brillouin scattering (SpBS)en_US
dc.titleStrain resolution and spatial resolution improvement of BOCDR-based DSS system using particle swarm optimization algorithmen_US
dc.typeConference Paperen_US
Appears in Collections:Research Publications

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