Improving spatial resolution in fiber Raman distributed temperature sensor by using deconvolution algorithm

2009 ◽  
Vol 7 (7) ◽  
pp. 560-563 ◽  
Author(s):  
张磊 Lei Zhang ◽  
冯雪 Xue Feng ◽  
张巍 Wei Zhang ◽  
刘小明 Xiaoming Liu
Author(s):  
Junfan Chen ◽  
Ning Sun ◽  
Zhongxie Jin

Spatial resolution is an important parameter that characterizes the detection capability of a system, and there are extremely high requirements for spatial resolution in important fields such as the fossil energy industry and nuclear industry. In order to realize the high-precision distributed monitoring of the optical fiber distributed temperature sensing system (DTS), the factors affecting the spatial resolution of the DTS system were analyzed, and a two-dimensional planar temperature field distribution monitoring scheme based on Raman distributed temperature sensor (RDTS) was proposed. In this scheme, based on the layout of the two-dimensional RDTS heat source positioning system, multimode fiber was adopted. After comparing several sensing fiber routing schemes, the 45∘ skew 2D wiring method of sensing fiber was finally selected. According to the experimental results, the spatial resolution of the temperature field distribution in the monitoring area can break through the limitation of the system resolution. It has more application value than the traditional one-dimensional distributed temperature sensing system.


2011 ◽  
Vol 36 (13) ◽  
pp. 2557 ◽  
Author(s):  
Marcelo A. Soto ◽  
Tiziano Nannipieri ◽  
Alessandro Signorini ◽  
Andrea Lazzeri ◽  
Federico Baronti ◽  
...  

2014 ◽  
Vol 22 (2) ◽  
pp. 1560 ◽  
Author(s):  
Trung D. Vo ◽  
Jiakun He ◽  
Eric Magi ◽  
Matthew J. Collins ◽  
Alex S. Clark ◽  
...  

2014 ◽  
Author(s):  
Y. Chen ◽  
A. H. Hartog ◽  
R. J. Marsh ◽  
I. M. Hilton ◽  
M. R. Hadley ◽  
...  

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