Machine Learning Assisted Fiber Bragg Grating-Based Temperature Sensing

This letter proposes an alternative approach to the signal processing of temperature measurements based on fiber Bragg gratings (FBGs) using the machine learning tool Gaussian process regression (GPR). The experimental results show that for a majority of the cases under consideration, the reported t...

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Bibliographic Details

Published in:	IEEE photonics technology letters Vol. 31; no. 12; pp. 939 - 942
Main Authors:	Djurhuus, Martin S. E., Werzinger, Stefan, Schmauss, Bernhard, Clausen, Anders T., Zibar, Darko
Format:	Journal Article
Language:	English
Published:	New York IEEE 15-06-2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial intelligence Bragg gratings Fiber gratings Gaussian process Gaussian processes Ground penetrating radar Machine learning optical fiber sensors Signal processing Temperature distribution Temperature measurement Temperature sensors
Online Access:	Get full text
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