Distributed Strain Sensing Inside a Fiber Coil Under Vibration

Travers, Pierre; Arpison, Guillaume; Ghorbel, Inès; Léguillon, Yohann; Louf, François; Boucard, Pierre-Alain; Kemlin, Vincent; Crozatier, V.

doi:10.1109/jlt.2022.3187521

Cited by 3 publications

(1 citation statement)

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“…Since Wc Eickhoff et al proposed the optical frequency domain reflectometry (OFDR) sensing system in 1981 [ 1 ], due to its advantage of high spatial resolution, it is now widely used in distributed measurement fields such as temperature measurement [ 2 , 3 , 4 , 5 ], strain measured [ 6 , 7 , 8 , 9 ], and shape sensing [ 10 , 11 , 12 , 13 , 14 , 15 ]. The cross-correlation algorithm (CCA) is a common data processing algorithm for OFDR systems, which calculates the wavelength shift value by comparing spectrum fingerprint peaks between the reference signal and the measured signal.…”

Section: Introductionmentioning

confidence: 99%

Optical Frequency Domain Reflectometry Based on Multilayer Perceptron

Yin

Zhu

Liu

et al. 2023

Sensors

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We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A classification multilayer perceptron was applied to train and grasp the fingerprint features of Rayleigh scattering spectrum in the optical fiber. The training set was constructed by moving the reference spectrum and adding the supplementary spectrum. Strain measurement was employed to verify the feasibility of the method. Compared with the traditional cross-correlation algorithm, the multilayer perceptron achieves a larger measurement range, better measurement accuracy, and is less time-consuming. To our knowledge, this is the first time that machine learning has been introduced into an optical frequency domain reflectometry system. Such thoughts and results would bring new knowledge and optimization to the optical frequency domain reflectometer system.

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