Transfer learning for temperature predictions in sensors employing fibre Bragg grating arrays

Djurhuus MS, Schmauß B, Clausen AT, Zibar D (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Optica Publishing Group (formerly OSA)

Conference Proceedings Title: Optics InfoBase Conference Papers

Event location: Washington, DC, USA

ISBN: 9781557523075

Abstract

The feasibility of transfer learning is experimentally demonstrated by accurate predictions of temperatures of FBGs excluded from the training process with SMSE in the 10-3 range even for FBG peak powers around -30 dBm.

Authors with CRIS profile

Bernhard Schmauß Professur für Hochfrequenztechnik mit dem Schwerpunkt Optische Hochfrequenztechnik und Photonik

Involved external institutions

Technical University of Denmark / Danmarks Tekniske Universitet (DTU) DK Denmark (DK)

How to cite

APA:

Djurhuus, M.S., Schmauß, B., Clausen, A.T., & Zibar, D. (2020). Transfer learning for temperature predictions in sensors employing fibre Bragg grating arrays. In Optics InfoBase Conference Papers. Washington, DC, USA: Optica Publishing Group (formerly OSA).

MLA:

Djurhuus, Martin S.E., et al. "Transfer learning for temperature predictions in sensors employing fibre Bragg grating arrays." Proceedings of the 27th International Conference on Optical Fiber Sensors, OFS 2020, Washington, DC, USA Optica Publishing Group (formerly OSA), 2020.

BibTeX: Download