Paper
23 May 2023 Lateral force sensing based on fibre Bragg gratings and Gaussian regression process
Rodrigo Fiorin, Sebastian San Martín, Marcelo A. Soto
Author Affiliations +
Proceedings Volume 12643, European Workshop on Optical Fibre Sensors (EWOFS 2023); 126430M (2023) https://doi.org/10.1117/12.2679926
Event: European Workshop on Optical Fibre Sensors (EWOFS 2023), 2023, Mons, Belgium
Abstract
This paper proposes an approach for lateral force sensing based on fibre Bragg gratings (FBGs) and Gaussian process regression (GPR). The monitoring system is based on FBG sensors embedded in a glass structure (load cell), which converts the external lateral force into axial strain along the fibre. Whilst the use of conventional peak detection techniques to retrieve the Bragg wavelength of the embedded FBG sensor can easily fail due to the FBG spectral distortions induced by the lateral force, the proposed GPR approach permits a direct mapping of the FBG spectral shape (including its peak wavelength and any observed distortion) into the applied lateral force. Experimental results validate the proposed approach, demonstrating highly accurate lateral force monitoring even in conditions with distorted FBG reflection spectra.
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Rodrigo Fiorin, Sebastian San Martín, and Marcelo A. Soto "Lateral force sensing based on fibre Bragg gratings and Gaussian regression process", Proc. SPIE 12643, European Workshop on Optical Fibre Sensors (EWOFS 2023), 126430M (23 May 2023); https://doi.org/10.1117/12.2679926
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KEYWORDS
Fiber Bragg gratings

Sensors

Bragg wavelengths

Reflection

Machine learning

Spectral response

Optical fibers

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