首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter
  • 本地全文:下载
  • 作者:Xiang Wang ; Tong Liu ; Honghui Wang
  • 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
国家哲学社会科学文献中心版权所有