Specialty optical fiber sensor for ship water pressure in industrial applications

1997 ◽  
Author(s):  
Duo-Min He ◽  
Xin He
Keyword(s):  
Optical Fiber ◽  
Water Pressure ◽  
Optical Fiber Sensor ◽  
Industrial Applications ◽  
Fiber Sensor

Optical Fiber Sensor Network and Industrial Applications

2019 ◽  
pp. 1839-1884
Author(s):  
Qizhen Sun ◽  
Zhijun Yan ◽  
Deming Liu ◽  
Lin Zhang
Keyword(s):  
Optical Fiber ◽  
Sensor Network ◽  
Optical Fiber Sensor ◽  
Industrial Applications ◽  
Fiber Sensor

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.

scholarly journals Design of self-heating test platform for sulfide corrosion and oxidation based on Fuzzy PID temperature control system

2021 ◽  
pp. 002029402110203
Author(s):  
Cheng-Wei Chu ◽  
Zhi-Chao Zhu ◽  
Hai-Tao Bian ◽  
Jun-Cheng Jiang
Keyword(s):  
Control System ◽  
Optical Fiber ◽  
Temperature Control ◽  
Optical Fiber Sensor ◽  
Oxidation Temperature ◽  
Fiber Sensor ◽  
Fuzzy Pid ◽  
Test Platform ◽  
Sulfide Corrosion ◽  
Corrosion And Oxidation

In this paper, the changes of oxidation temperature of sulfide corrosion and the deficiency of distributed optical fiber application were analyzed. The test platform of oxidation temperature of sulfide corrosion was established, and the performance test of optical fiber and the simulation of oxidation temperature of sulfide corrosion were realized. The hardware part of the control system used STM32 as the controller, the software part was based on the process characteristics of the controlled object, using MATLAB to carry out the simulation of PID, fuzzy, fuzzy PD plus I, fuzzy PID algorithms, and their performance are evaluated using both single indexes and comprehensive indexes. The experimental results also showed that the proposed fuzzy PID can achieve better control performance with less overshoot and shorter setting time. Therefore, the fuzzy PID was chosen as the temperature control algorithm to build the optical fiber sensor test platform, and an alarm method for testing the oxidation temperature of large area sulfide corrosion based on the optical fiber performance was obtained. Then, considering the influence of spatial resolution on optical fiber sensor, this paper used piecewise PID to simulate the temperature rise process of three stages of sulfurization corrosion and oxidation. The results showed that the alarm method of oxidation temperature of sulfurization corrosion has limitations for small-scale oxidation of sulfurization corrosion, and it needed to be combined with machine learning to identify temperature anomaly.

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