Recent development in artificial neural network based distributed fiber optic sensors

Nageswara Lalam, Wai Pang Ng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)
30 Downloads (Pure)

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.

Original languageEnglish
Title of host publication2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2020)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages818-823
Number of pages6
ISBN (Electronic)9781728167435
ISBN (Print)9781728160511
DOIs
Publication statusPublished - 20 Jul 2020
Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
Duration: 20 Jul 202022 Jul 2020

Conference

Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
CountryPortugal
CityPorto
Period20/07/2022/07/20

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