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Updated: Jan 20, 2026

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings
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[Research on Temperature Detection System Based on Improved Fiber Bragg Grating].

Li-xia Yu, Li Qin

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |May 28, 2016
    PubMed
    Summary

    This study introduces an improved Fiber Bragg Grating temperature detection system. Dual fiber data acquisition and differential processing significantly enhance stability and accuracy, achieving 0.5°C precision.

    Area of Science:

    • Optoelectronics
    • Fiber optic sensing
    • Metrology

    Context:

    • Traditional Fiber Bragg Grating (FBG) systems face challenges with temperature response stability and linearity.
    • Accurate multi-point temperature monitoring is crucial in various industrial and scientific applications.
    • Existing FBG systems exhibit poor linearity between Bragg grating center wavelength shifts and temperature variations.

    Purpose:

    • To enhance the stability and accuracy of Fiber Bragg Grating-based temperature detection systems.
    • To overcome the limitations of poor linearity and random errors in conventional FBG temperature sensors.
    • To develop a novel FBG temperature sensing methodology with improved performance.

    Summary:

    • An improved temperature detection system utilizing Fiber Bragg Grating (FBG) was designed, employing dual fiber parallel acquisition for simultaneous data collection at a single point.

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  • Differential processing of the center wavelength data effectively eliminates random errors in real-time.
  • New FBG probe structures were developed, and the functional relationship between wavelength shift and temperature was derived.
  • Impact:

    • The improved FBG system demonstrates enhanced temperature measurement accuracy, reaching up to 0.5°C, surpassing conventional systems.
    • Significant reduction in measurement error compared to traditional FBG temperature detection methods.
    • The novel design improves the overall stability and reliability of FBG-based temperature monitoring systems.