Recent development in artificial neural network based distributed fiber optic sensors

Lalam, Nageswara and Ng, Wai Pang (2020) Recent development in artificial neural network based distributed fiber optic sensors. In: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2020). IEEE, Piscataway, pp. 818-823. ISBN 9781728160511, 9781728167435

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Official URL: https://doi.org/10.1109/CSNDSP49049.2020.9249588

Abstract

Distributed fiber optic sensors are promising technique for measuring strain, temperature and vibration over tens of kilometres by utilizing the backscattered Rayleigh, Raman and Brillouin signals. Recently, the use of an artificial neural network (ANN) has been adopted into the distributed fiber sensors for advanced data analytics, fast data processing time, high sensing accuracy and event classification. In this paper, the recent developments of ANN-based distributed fiber sensors and their operating principles are reviewed. Moreover, the performance of ANN is compared with the conventional signal processing algorithms. The future perspective view that can be extended further research development has also been discussed.

Item Type: Book Section
Uncontrolled Keywords: distributed fiber sensor, artificial neural network
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 10 Mar 2021 10:49
Last Modified: 31 May 2021 14:41
URI: http://nrl.northumbria.ac.uk/id/eprint/45662

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