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Ultra-high-temperature sensing using fiber grating sensor and demodulation method based on support vector regression

Yingjie Li, Tao Chen, Jinhai Si

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    |February 14, 2023
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    This study introduces an ultra-high-temperature sensing method using a fiber Bragg grating (FBG) and a genetic algorithm-optimized support vector regression (GA-SVR). The novel technique accurately measures temperatures up to 1000°C, exceeding the FBG

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    Area of Science:

    • Optoelectronics and Photonics
    • Materials Science
    • Machine Learning Applications

    Background:

    • Fiber Bragg gratings (FBGs) are widely used optical sensors, but their application in ultra-high-temperature environments is limited by material degradation.
    • Traditional FBG demodulation methods require the sensor to reach thermal equilibrium, leading to slow response times and limiting the measurable temperature range.
    • Accurate and rapid temperature sensing above 700°C is crucial for industrial processes like combustion monitoring.

    Purpose of the Study:

    • To develop an ultra-high-temperature sensing method overcoming the limitations of conventional FBG sensors.
    • To enable rapid temperature demodulation significantly faster than the sensor's time constant.
    • To achieve accurate temperature measurements exceeding the FBG's inherent resistance limit.

    Main Methods:

    • Utilizing a type-I FBG inscribed in silica fiber, packaged with a tube for high-temperature stability.
    • Employing a genetic algorithm-optimized support vector regression (GA-SVR) for signal demodulation.
    • Analyzing the transient FBG wavelength and its rate of change during thermal equilibration.

    Main Results:

    • Successful temperature sensing in the range of 400°C to 1000°C with an accuracy of 4.8°C.
    • Achieved sensing temperatures significantly higher than the FBG's material resistance limit (exceeding 700°C).
    • Reduced demodulation time to approximately 15 seconds, a substantial improvement over the FBG sensor's time constant.

    Conclusions:

    • The proposed GA-SVR demodulation technique enables ultra-high-temperature sensing beyond the FBG's material limits.
    • The method allows for rapid temperature determination before thermal equilibrium, enhancing efficiency.
    • Potential applications include critical temperature monitoring in combustion and other extreme environments.