Polarization Mode Coupling Involved in a Capillary Optical Fiber Sensor: Modeling and Experimental Validation

2012 ◽  
Vol 30 (8) ◽  
pp. 1009-1014
Author(s):  
Claude Pare ◽  
Serge Caron ◽  
Patrick Paradis ◽  
Antoine Proulx
Keyword(s):  
Optical Fiber ◽  
Mode Coupling ◽  
Experimental Validation ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Polarization Mode ◽  
Sensor Modeling

The Optimal Application of GA-Improved Wavelet Network in Optical Fiber Sensor

2011 ◽  
Vol 217-218 ◽  
pp. 835-840
Author(s):  
Hong Zhao
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Optical Fiber Sensor ◽  
Optimal Solution ◽  
Solution Space ◽  
Wavelet Neural Network ◽  
Fiber Sensor ◽  
Intelligent Sensor ◽  
Promising Application ◽  
Sensor Modeling

Based on GA-improved wavelet neural network, this paper explored the Optical Fiber through the establishment of static property 3-dimension compensation model of the optical fiber sensor system. This paper has combined the advantages of both wavelet neural network and genetic algorithm and is thus capable of searching for global optimal solution in the solution space which has very promising application prospect in the areas such as intelligent sensor modeling and compensation.

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.

scholarly journals Design and validation of fiber optic localized surface plasmon resonance sensor for thyroglobulin immunoassay with high sensitivity and rapid detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hyeong-Min Kim ◽  
Dae Hong Jeong ◽  
Ho-Young Lee ◽  
Jae-Hyoung Park ◽  
Seung-Ki Lee
Keyword(s):  
Surface Plasmon Resonance ◽  
Optical Fiber ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Optical Fiber Sensor ◽  
Fiber Sensor ◽  
Localized Surface Plasmon ◽  
Simple Method ◽  
Resonance Sensor

AbstractA simple optical fiber sensor based on localized surface plasmon resonance was constructed for direct and rapid measurement of thyroglobulin (Tg). Specific tests for Tg in patients that have undergone thyroidectomy are limited because of insufficient sensitivity, complicated procedures, and in some cases, a long time to yield a result. A sensitive, fast, and simple method is necessary to relieve the psychological and physical burden of the patient. Various concentrations of Tg were measured in a microfluidic channel using an optical fiber sensor with gold nanoparticles. The sensor chip has a detection limit of 93.11 fg/mL with no specificity for other antigens. The potential applicability of the Tg sensing system was evaluated using arbitrary samples containing specific concentrations of Tg. Finally, the sensor can be employed to detect Tg in the patient’s serum, with a good correlation when compared with the commercial kit.

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