Abstract
The accuracy of temperature measurement is often reduced due to random noise in Raman-based distributed temperature sensor (RDTS). A noise reduction method based on a nonlinear filter is thus proposed in this paper. Compared with the temperature demodulation results of raw signals, the proposed method in this paper can reduce the average maximum deviation of temperature measurement results from 4.1°C to 1.2°C at 40.0°C, 50.0°C and 60.0°C. And the proposed method in this paper can improve the accuracy of temperature measurement of Raman-based distributed temperature sensor better than the commonly used wavelet transform-based method. The advantages of the proposed method in improving the accuracy of temperature measurement for Raman-based distributed temperature sensor are quantitatively reflected in the maximum deviation and root mean square error of temperature measurement results. Therefore, this paper proposes an effective and feasible method to improve the accuracy of temperature measurement results for Raman-based distributed temperature sensor.
Highlights
Aiming at the problem of the adverse effect of random noise on temperature measurement accuracy in Raman-based distributed temperature sensor (RDTS), we propose a noise reduction method based on nonlinear filtering of median filter to improve the accuracy of temperature measurement of RDTS
Compared with the demodulation results of Raw data, the method proposed in this paper can greatly improve the accuracy of temperature measurement of RDTS
Compared with the commonly used wavelet transform (WT) method, the method proposed in this paper can better improve the accuracy of temperature measurement of RDTS
Summary
Raman-based distributed temperature sensor is widely used in power grid monitoring [1], mine safety monitoring [2], nuclear environmental safety monitoring [3] and other fields due to its strong resistance to electromagnetic and radiative interference and excellent distributed measurement capability
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