Optical fiber sensor monitoring fault gas based on modulated fiber grating model filter

1999 ◽  
Author(s):  
Xingguo Wu ◽  
Shaohui Li ◽  
Gang Zhang ◽  
Zhipeng Zhang ◽  
Yuanzhong Xu
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Fiber Grating ◽  
Fault Gas ◽  
Model Filter ◽  
Sensor Monitoring

scholarly journals Optical Fiber Sensor Experimental Research Based on the Theory of Bending Loss Applied to Monitoring Differential Settlement at the Earth-Rock Junction

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jianchun Qiu ◽  
Dongjian Zheng ◽  
Kai Zhu ◽  
Bin Fang ◽  
Lin Cheng
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensor ◽  
Single Mode ◽  
Differential Settlement ◽  
The Body ◽  
Fiber Sensor ◽  
Monitoring Device ◽  
The Earth ◽  
Bending Loss ◽  
Sensor Monitoring

Considering the differential settlement in the junction between the structure perpendicular to the dike and the body and foundation of dike (called the earth-rock junction in this paper) during runtime, an experimental investigation of optical fiber sensor monitoring was conducted. Based on the sensing mechanism of single-mode optical fiber bending loss, the experiment focused on the influence of the bending radius of an optical fiber on the bending loss. In view of the characteristics of the differential settlement in the earth-rock junction, we designed a butterfly-type optical fiber sensor and composite optical fiber sensor for monitoring device in monitoring the differential settlement to enlarge the monitoring range and improve the sensibility of optical fiber sensor. Based on the research on the working principle and bending properties of the composite optical fiber monitoring device, we conducted experiments on the bending of the composite optical fiber sensor monitoring device and the use of the device for monitoring the differential settlement. These experiments verified the feasibility of the composite optical fiber sensor monitoring device at monitoring the differential settlement in the earth-rock junction.

Method of Measuring Tendon Force using Optical Fiber Sensor

2018 ◽  
Vol 56 (1) ◽  
pp. 94-99
Author(s):  
N. Sogabe ◽  
S. Nakaue ◽  
K. Chikiri ◽  
M. Hayakawa
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Tendon Force

scholarly journals Oxygen concentration measurement in the porous cathode of a lithium-air battery using a fine optical fiber sensor

2019 ◽  
Vol 5 (0) ◽  
pp. 19-00095-19-00095
Author(s):  
Shogo FUJIMOTO ◽  
Suguru UEMURA ◽  
Nobuyuki IMANISHI ◽  
Shuichiro HIRAI
Keyword(s):  
Optical Fiber ◽  
Oxygen Concentration ◽  
Optical Fiber Sensor ◽  
Concentration Measurement ◽  
Fiber Sensor ◽  
Porous Cathode ◽  
Air Battery

scholarly journals Measurement Improvement of Distributed Optical Fiber Sensor via Lorenz Local Single Peak Fitting Algorithm

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1166
Author(s):  
Bin Liu ◽  
Jianping He ◽  
Shihai Zhang ◽  
Yinping Zhang ◽  
Jianan Yu ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Frequency Shift ◽  
Optical Fiber Sensor ◽  
Gain Spectrum ◽  
Fiber Sensor ◽  
Peak Fitting ◽  
Fitting Algorithm ◽  
Distributed Optical Fiber Sensor ◽  
Brillouin Gain ◽  
Distributed Optical Fiber

Brillouin frequency shift (BFS) of distributed optical fiber sensor is extracted from the Brillouin gain spectrum (BGS), which is often characterized by Lorenz type. However, in the case of complex stress and optical fiber self damage, the BGS will deviate from Lorenz type and be asymmetric, which leads to the extraction error of BFS. In order to enhance the extraction accuracy of BFS, the Lorenz local single peak fitting algorithm was developed to fit the Brillouin gain spectrum curve, which can make the BSG symmetrical with respect to the Brillouin center frequency shift. One temperature test of a fiber-reinforced polymer (FRP) packaged sensor whose BSG curve is asymmetric was conducted to verify the idea. The results show that the local region curve of BSG processed by the developed algorithm has good symmetry, and the temperature measurement accuracy obtained by the developed algorithm is higher than that directly measured by demodulation equipment. Comparison with the reference temperature, the relative measurement error measured by the developed algorithm and BOTDA are within 4% and 8%, respectively.

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