Rayleigh scattering-based distributed sensing in multicore optical fibers for shape reconstruction in multiplanar disturbance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257932" target="_blank" >RIV/61989100:27240/25:10257932 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0263224125014605?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0263224125014605?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.measurement.2025.118101" target="_blank" >10.1016/j.measurement.2025.118101</a>
Alternative languages
Result language
angličtina
Original language name
Rayleigh scattering-based distributed sensing in multicore optical fibers for shape reconstruction in multiplanar disturbance
Original language description
In recent years, advancements in smart cities and multifunctional monitoring have driven new demands for shape reconstruction devices. Multicore fibers (MCFs) are increasingly used due to their parallel data transmission capabilities and multiparameter sensing potential. This paper presents a Rayleigh-scattering-based distributed sensing approach with MCFs for shape reconstruction under multiplanar disturbances. Optical Frequency-Domain Reflectometry (OFDR) is utilized to analyze four cores in a seven-core fiber, enabling shape reconstruction through cross-correlation of spectral responses relative to an unstrained reference. Two configurations are compared: Configuration 1, a spatially separated core arrangement enabling independent strain independent strain measurements to be analyzed with a Frenet-Serret frame modeling and Random Forest (RF) algorithms, achieving a high accuracy with a maximum error of 8.72 x 10-3 cm; and Configuration 2, a simplified approach analyzing all cores in the same OFDR channel, yielding a higher error of 0.27 cm when a RF algorithm was fed with features derived from the Rayleigh backscattered signal (loss amplitude, strain, spectral shift, and s-and p-polarization) measured by an optical backscatter reflectometer. Three protocols-pure bending, pure torsion, and combined bending/torsion-validate these configurations. The results emphasize this multifunctional MCF-based sensor system's potential for flexible, integrated shape reconstruction solutions.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Measurement
ISSN
0263-2241
e-ISSN
1873-412X
Volume of the periodical
2025
Issue of the periodical within the volume
256
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
118101
UT code for WoS article
001512901400006
EID of the result in the Scopus database
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