TITLE:
Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter
AUTHORS:
Xiang Wang, Tong Liu, Honghui Wang
KEYWORDS:
Raman-Based Distributed Temperature Sensor, Noise Reduction, Temperature Measurement
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.9 No.8,
August
15,
2019
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.