Journal
JOURNAL OF LIGHTWAVE TECHNOLOGY
Volume 36, Issue 11, Pages 2114-2121Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2018.2805362
Keywords
Artifical neural network; distributed systems; optical fiber sensors; stimulated Brillouin scattering; strain-temperature discrimination
Funding
- AEI/FEDER, UE [TEC2013-47264-C2-1-R, TEC2016-76021-C2-2-R]
- CIBERBBN via FEDER funds
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A system based on the use of artificial neural networks allowing discrimination of strain and temperature in a conventional Brillouin optical time domain analyzer setup is presented and demonstrated in this paper. This solution allows to perform an automatic discrimination of both parameters without compromising the complexity or cost of the interrogation unit. The classification results, achieved by considering a preprocessing stage with dimensionality reduction via principal component analysis and spatial filtering, improve those obtained in a previous feasibility study.
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