Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/2521
Title: Strain resolution and spatial resolution improvement of BOCDR-based DSS system using particle swarm optimization algorithm
Authors: Tangudu R.
Sahu P.K.
Keywords: Brillouin frequency shift (BFS)
Brillouin optical correlation domain reflectometry (BOCDR)
Particle swarm optimization (PSO)
Spontaneous Brillouin scattering (SpBS)
Issue Date: 2020
Abstract: This 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.
URI: http://dx.doi.org/10.1007/978-981-13-6159-3_20
http://10.10.32.48:8080/jspui/handle/2008/2521
Appears in Collections:Research Publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.