Performance of low-cost few-mode fiber Bragg grating sensor systems: polarization sensitivity and linearity of temperature and strain response

Ganziy, Denis; Rose, Bjarke; Bang, Ole

doi:10.1364/ao.55.006156

Cited by 21 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resolution of the optical signal demodulation equipment is 1 pm, the sampling frequency is 2 kHz, and the wavelength demodulation range matches the ASE broadband light source. In the experiment, a temperature and humidity programmable chamber (Temp-Humi PC) is used to provide temperature jumps, the controllable temperature range is −30 • C∼120 • C, and the accuracy is 0.01 • C, which meets the requirements of the experimental system [3,11]. In the experiment, the broadband light output by the ASE is injected into the FBG temperature sensor through the circulator, the temperature sensor grating returns the light signal of a specific wavelength, and the reflected light enters the demodulation device through the circulator.…”

Section: Experiments Of Fbg Temperature Sensitivitymentioning

confidence: 99%

“…The wavelength drift of the fiber Bragg grating (FBG) reflection spectrum is directly related to temperature changes, so the FBG temperature sensor is one of the most important and direct application directions of fiber-grating-sensing technology [1]. FBG temperature sensors are used in many applications, such as strong magnetic fields, electric power plants, etc., due to the advantages of antielectromagnetic interference, wide dynamic range, strong reliability, and fast response performance [2,3]. Most commonly, the FBG temperature sensor is buried in the concrete to track the groundwater temperature field of ultra-high hydropower dams, and buried in the rock layer soil to monitor the frost heaving environment of the soil in the alpine tunnel and slope.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analytical Evaluation and Experiment of the Dynamic Characteristics of Double-Thimble-Type Fiber Bragg Grating Temperature Sensors

et al. 2020

View full text Add to dashboard Cite

A double-thimble-type fiber Bragg grating (FBG) temperature sensor that isolates the stress strain is developed, and the three materials of air, grease, and copper thimble are employed for encapsulating. To investigate the effect of different encapsulation materials on the time constant of the sensors under dynamic conditions, the transient heat conduction mathematical model is built according to the lumped heat capacity (LHC) system and thermal equilibrium theory, and the time constant is solved by an analytical solution. Then, a proportional three-dimensional sensor simulation model is established and the transient heat transfer process is numerically solved by the finite element analysis method. To verify the models, an experimental system is established to test the response speed of the three-type sensor and the experimental data are compared with the analytical and numerical solution results. The results show that the dynamic response performance depends on the encapsulation material parameters; the response speed is faster than recovery speed; and the response speed of the air packaging sensor is more than 20% faster than that of the grease packaging sensor, and more than 30% faster than that of the copper packaging sensor. The smaller the heat storage capacity and the larger the heat transfer coefficient, the faster the sensor’s response speed.

show abstract

Section: Experiments Of Fbg Temperature Sensitivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical Evaluation and Experiment of the Dynamic Characteristics of Double-Thimble-Type Fiber Bragg Grating Temperature Sensors

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Optical fiber sensors based on Raman scattering [ 9 , 10 , 11 , 12 , 13 , 14 , 15 ], Brillouin [ 16 , 17 ], and fiber Bragg grating [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ] are three common ways to realize multipoint measurement. Rusen Yan et al [ 9 ] reported a temperature-dependent Raman sensor, and the temperature sensitivities are −0.011 cm −1 /K and −0.013 cm −1 /K for different modes in the range from 100 K to 320 K, respectively.…”

Section: Introductionmentioning

confidence: 99%

High Temperature High Sensitivity Multipoint Sensing System Based on Three Cascade Mach–Zehnder Interferometers

Zhao

Lin

Yao

et al. 2018

Sensors

View full text Add to dashboard Cite

A temperature multipoint sensing system based on three cascade Mach–Zehnder interferometers (MZIs) is introduced. The MZIs with different lengths are fabricated based on waist-enlarged fiber bitapers. The fast Fourier transformation is applied to the overlapping transmission spectrum and the corresponding interference spectra can be obtained via the cascaded frequency spectrum based on the inverse Fourier transformation. By analyzing the drift of interference spectra, the temperature response sensitivities of 0.063 nm/°C, 0.071 nm/°C, and 0.059 nm/°C in different furnaces can be detected from room temperature up to 1000 °C, and the temperature response at different regions can be measured through the sensitivity matrix equation. These results demonstrate feasibility of multipoint measurement, which also support that the temperature sensing system provides new solution to the MZI cascade problem.

show abstract

“…Stefani and Anziy introduced the few-mode 850 nm FBG sensor [ 8 , 28 ]. The characteristics of this FBG, such as polarization stability and linearity, were provided in their articles.…”

Section: Introductionmentioning

confidence: 99%

A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm

Zhang

Jin

et al. 2018

Sensors

View full text Add to dashboard Cite

A Fiber Bragg Grating (FBG) interrogation system with a self-adaption threshold peak detection algorithm is proposed and experimentally demonstrated in this study. This system is composed of a field programmable gate array (FPGA) and advanced RISC machine (ARM) platform, tunable Fabry–Perot (F–P) filter and optical switch. To improve system resolution, the F–P filter was employed. As this filter is non-linear, this causes the shifting of central wavelengths with the deviation compensated by the parts of the circuit. Time-division multiplexing (TDM) of FBG sensors is achieved by an optical switch, with the system able to realize the combination of 256 FBG sensors. The wavelength scanning speed of 800 Hz can be achieved by a FPGA+ARM platform. In addition, a peak detection algorithm based on a self-adaption threshold is designed and the peak recognition rate is 100%. Experiments with different temperatures were conducted to demonstrate the effectiveness of the system. Four FBG sensors were examined in the thermal chamber without stress. When the temperature changed from 0 °C to 100 °C, the degree of linearity between central wavelengths and temperature was about 0.999 with the temperature sensitivity being 10 pm/°C. The static interrogation precision was able to reach 0.5 pm. Through the comparison of different peak detection algorithms and interrogation approaches, the system was verified to have an optimum comprehensive performance in terms of precision, capacity and speed.

show abstract

Performance of low-cost few-mode fiber Bragg grating sensor systems: polarization sensitivity and linearity of temperature and strain response

Cited by 21 publications

References 16 publications

Analytical Evaluation and Experiment of the Dynamic Characteristics of Double-Thimble-Type Fiber Bragg Grating Temperature Sensors

Analytical Evaluation and Experiment of the Dynamic Characteristics of Double-Thimble-Type Fiber Bragg Grating Temperature Sensors

High Temperature High Sensitivity Multipoint Sensing System Based on Three Cascade Mach–Zehnder Interferometers

A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm

Contact Info

Product

Resources

About