文章基本信息

标题：Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter
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作者：Xiang Wang ; Tong Liu ; Honghui Wang 等
期刊名称：Open Journal of Applied Sciences
印刷版ISSN：2165-3917
电子版ISSN：2165-3925
出版年度：2019
卷号：9
期号：8
页码：631-639
DOI：10.4236/ojapps.2019.98051
出版社：Scientific Research Publishing
摘要：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..
关键词：Raman;Based Distributed Temperature Sensor;Noise Reduction;Temperature Measurement