Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter - Open Journal of Applied Sciences

OJAppS > Vol.9 No.8, August 2019

Open Journal of Applied Sciences

Volume 9, Issue 8 (August 2019)

ISSN Print: 2165-3917 ISSN Online: 2165-3925

Google-based Impact Factor: 0.92 Citations h5-index & Ranking

Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter ()

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Download as PDF (Size: 2508KB) PP. 631-639

DOI: 10.4236/ojapps.2019.98051 533 Downloads 1,298 Views Citations

Author(s)

Xiang Wang, Tong Liu, Honghui Wang

Affiliation(s)

School of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.

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.

KEYWORDS

Raman-Based Distributed Temperature Sensor, Noise Reduction, Temperature Measurement

Share and Cite:

Wang, X. , Liu, T. and Wang, H. (2019) Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter. Open Journal of Applied Sciences, 9, 631-639. doi: 10.4236/ojapps.2019.98051.

Cited by

[1]	Physics and applications of Raman distributed optical fiber sensing
	Light: Science & Applications, 2022

[2]	Challenges and opportunities in distributed anti-Stokes Raman thermometry
	ISSS Journal of Micro and Smart Systems, 2022

[3]	A novel deep-learning model for RDTS signal denoising based on down-sampling and convolutional neural network
	Journal of Lightwave …, 2022

[4]	Measurement accuracy enhancement with multi-event detection using the deep learning approach in Raman distributed temperature sensors
	2021

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