TY - GEN

T1 - Shape and temperature fiber sensors based on fs-laser written reflectors in 7-core fiber and machine learning

AU - Munkueva, Z. E.

AU - Bronnikov, K. A.

AU - Sakhno, D.

AU - Kokhanovskiy, A. Y.

AU - Dostovalov, A. V.

AU - Babin, S. A.

N1 - The work was supported by the Russian Science Foundation (21-72- 30024).

PY - 2024

Y1 - 2024

N2 - We present the experimental results on development of 3D shape and temperature fiber sensors based on random and regular reflectors inscribed by femtosecond laser radiation in 7 -core fiber. In the first case the 3D shape measurements accuracy of < 5% was achieved, whereas in the second case temperature sensor utilizing a machine learning algorithm for a spectral analysis was demonstrated.

AB - We present the experimental results on development of 3D shape and temperature fiber sensors based on random and regular reflectors inscribed by femtosecond laser radiation in 7 -core fiber. In the first case the 3D shape measurements accuracy of < 5% was achieved, whereas in the second case temperature sensor utilizing a machine learning algorithm for a spectral analysis was demonstrated.

KW - distributed fiber sensors

KW - femtosecond laser micromachining

KW - optical fiber

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85203142218&origin=inward&txGid=71a8a448b20133931944e3d3ee6ed4ec

UR - https://www.mendeley.com/catalogue/90866d0f-9996-38af-bfe0-726cdee13863/

U2 - 10.1109/ICLO59702.2024.10624061

DO - 10.1109/ICLO59702.2024.10624061

M3 - Conference contribution

SN - 9798350390674

T3 - 2024 International Conference Laser Optics, ICLO 2024 - Proceedings

SP - 231

BT - 2024 International Conference Laser Optics, ICLO 2024 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 International Conference Laser Optics

Y2 - 1 July 2024 through 5 July 2024

ER -