Numerical modelling of distributed vibration sensor based on phase-sensitive OTDR
Numerical modelling of distributed vibration sensor based on phase-sensitive OTDR
A Distributed Vibration Sensor Based on Phase-Sensitive OTDR is numerically modeled. The advantage of modeling the building blocks of the sensor individually and combining the blocks to analyse the behavior of the sensing system is discussed. It is shown that the numerical model can accurately imitate the response of the experimental setup to dynamic perturbations a signal processing procedure similar to that used to extract the phase information from sensing setup.
Numerical modeling, Distributed vibration sensing, Phase-sensitive OTDR
Masoudi, Ali
8073fb9b-2e6c-46c9-89cf-cb8670d76dc0
Newson, Trevor
6735857e-d947-45ec-8163-54ebb25daad7
Masoudi, Ali
8073fb9b-2e6c-46c9-89cf-cb8670d76dc0
Newson, Trevor
6735857e-d947-45ec-8163-54ebb25daad7
Masoudi, Ali and Newson, Trevor
(2017)
Numerical modelling of distributed vibration sensor based on phase-sensitive OTDR.
In Proceedings of the 25th International Conference on Optical Fiber Sensors.
SPIE.
4 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
A Distributed Vibration Sensor Based on Phase-Sensitive OTDR is numerically modeled. The advantage of modeling the building blocks of the sensor individually and combining the blocks to analyse the behavior of the sensing system is discussed. It is shown that the numerical model can accurately imitate the response of the experimental setup to dynamic perturbations a signal processing procedure similar to that used to extract the phase information from sensing setup.
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Paper.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 8 February 2017
Venue - Dates:
The 25th International Conference on Optical Fiber Sensors, Jeju, Korea, Republic of, 2017-04-24 - 2017-04-28
Keywords:
Numerical modeling, Distributed vibration sensing, Phase-sensitive OTDR
Organisations:
Optoelectronics Research Centre
Identifiers
Local EPrints ID: 404845
URI: http://eprints.soton.ac.uk/id/eprint/404845
PURE UUID: b6ec41ce-28ac-4432-a6c9-80716a6d924a
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Date deposited: 03 Feb 2017 09:19
Last modified: 16 Mar 2024 06:13
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Contributors
Author:
Ali Masoudi
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