Parametric reflection of the quasi-distributed optical fiber sensors with flexible packaging layer for bending strain measurement

Wang, Huaping; Yin, Jian-Yu; Yang, Shi-Hao; Chen, Cong; Yu, Fanglin; Xiang, Ping

doi:10.1016/j.optlastec.2022.108893

Cited by 20 publications

(3 citation statements)

References 27 publications

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“…This analysis model does not consider the strain transfer efficiency between the optical fiber core, the peripheral structure of the fiber grating strain sensing optical cable, and the flexible substrate. However, strain measurement effectiveness of flexible substrates depends on adhesive quality, bonding quality at the contacted interface, and the packaging structure of optical fiber sensors [28,29].…”

Section: Finite Element Modelmentioning

confidence: 99%

Scraper conveyor shape sensing technology based on orthogonal optical fiber strain

Chen

Fang

Feng

et al. 2023

Meas. Sci. Technol.

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Intelligent perception of a scraper conveyor straightness and attitude monitoring of mechanical supporting equipment in the stope have practical and theoretical values for mining. This study proposed an optical fiber curvature sensor and a scraper conveyor’s curve reconstruction method. The optical fiber curvature sensor comprises the fiber grating strain sensing optical cables, the flexible substrate, and the packaging material. The coordinate positions of each monitoring point are obtained through the strain-curvature conversion relationship and the slope recurrence algorithm, and then the reconstruction curve is obtained by fitting. The finite element simulation verifies the feasibility of the curve reconstruction method used for the deformation monitoring via optical fiber curvature sensors. The reconstruction error analysis results show that the root mean square error of reconstructions for two kinds of 2D plane bending and 3D space bending are 2.98, 1.89, and 3.13%, respectively. Their mean absolute errors are 8.9, 3.56, and 9.82 mm, respectively, verifying the feasibility and high accuracy of the proposed curve reconstruction equation. The research results provide a theoretical basis for the shape perception and straightening control of scraper conveyors in the intelligent working surface.

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Section: Finite Element Modelmentioning

confidence: 99%

Scraper conveyor shape sensing technology based on orthogonal optical fiber strain

Chen

Fang

Feng

et al. 2023

Meas. Sci. Technol.

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“…Fiber sensing technology has been widely used in many applications, such as current measurement, 1,2 temperature or vibration monitoring, 3,4 inertial navigation, 5 and health monitoring of civil structures. 6,7 Among these various applications, fiber optic current sensors (FOCSs) have attracted wide attention from the electricity industry for power utility applications since the advent. FOCSs have a number of advantages over traditional electromagnetic current sensors, including large dynamic range, small volume, intrinsic immunity against electromagnetic interferences, a promise of safety, etc.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-dimensional fiber optic current sensor calibration method based on extreme gradient boosting

Chen,

Guo,

Yang

et al. 2024

Opt. Eng.

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Fiber optic current sensors (FOCSs) are prone to environmental disturbances and have to be calibrated before going into service. A commonly adopted scheme is the single dimensional calibration method based on temperature. In this work, we propose a multi-dimensional FOCS calibration method based on the extreme gradient boosting (XGBoost) algorithm. Six operating parameters of the FOCS are chosen as the input of the calibration model, including the drive current of the light source, the average optical power of the photo detector (PD), the second harmonic of the PD output, the drive voltage of the piezoelectric transducer, the measured current, and the ambient temperature. The ratio error is acquired as the output. Temperature cycling experiments on three finished sensors in an environment of −40°C to 72°C are conducted. The experimental results show that the max absolute ratio error after multi-dimensional calibration based on XGBoost is 0.031% and the mean absolute ratio error is 0.003%, both of which are much lower than the single-dimensional calibration method based on temperature. It can be concluded that the proposed multi-dimensional calibration method based on XGBoost can effectively improve the accuracy and stableness of FOCSs.

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Experimental Study on CRTS III Ballastless Track Based on Quasi-distributed Fiber Bragg Grating Monitoring

Zhang,

Xie,

Wang

et al. 2024

Iran J Sci Technol Trans Civ Eng

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Parametric reflection of the quasi-distributed optical fiber sensors with flexible packaging layer for bending strain measurement

Cited by 20 publications

References 27 publications

Scraper conveyor shape sensing technology based on orthogonal optical fiber strain

Scraper conveyor shape sensing technology based on orthogonal optical fiber strain

Multi-dimensional fiber optic current sensor calibration method based on extreme gradient boosting

Experimental Study on CRTS III Ballastless Track Based on Quasi-distributed Fiber Bragg Grating Monitoring

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