Conference paper
Machine learning assisted Fibre Bragg Grating based temperature sensing
In
Optical Fiber Sensors, Ofs 2018
—
2018
From
Machine Learning in Photonic Systems, Department of Photonics Engineering, Technical University of Denmark1
Department of Photonics Engineering, Technical University of Denmark2
Ultra-fast Optical Communication, Department of Photonics Engineering, Technical University of Denmark3
Friedrich-Alexander University Erlangen-Nürnberg4
Abstract
In this paper a machine learning method Gaussian process regression (GPR) is applied to directly learn the mapping between the measured spectrum and the temperature. A comparison with other conventional methods is performed and it is shown that the GPR based method gives a better performance in cases with low noise.
| Language: | English |
|---|---|
| Publisher: | Optical Society of America (OSA) |
| Year: | 2018 |
| Proceedings: | 26th International Conference on Optical Fiber Sensors |
| ISBN: | 1943580502 and 9781943580507 |
| Types: | Conference paper |
| DOI: | 10.1364/OFS.2018.ThE80 |
| ORCIDs: | Djurhuus, Martin S.E. , Clausen, Anders T. and Zibar, Darko |
