A transmit reflect detection system for fiber Bragg grating photonic sensors

Author(s):  
Graham Wild ◽  
Steven Hinckley ◽  
Paul Jansz
2019 ◽  
Vol 53 ◽  
pp. 102068
Author(s):  
Kun Liu ◽  
Yuanhao Zhao ◽  
Junfeng Jiang ◽  
Tianhua Xu ◽  
Pengxiang Chang ◽  
...  

2018 ◽  
Vol 28 (2) ◽  
pp. 139
Author(s):  
Pham Van Hoi ◽  
Nguyen Thuy Van ◽  
Pham Van Dai ◽  
Le Huu Thang ◽  
Nguyen Van An ◽  
...  

The photonic sensors have shown very effectively for measuring the toxic contents in the liquid and air environments. In principle, the photonic sensors based on measurement of wavelength shift between reference condition and testing environments that we need use the spectrometer with high cost. In this paper, we present new configurations of photonic devices for measuring wavelength shift without use of spectrometer, which has a large potential for application in sensing technique with low cost. There are two configurations of photonic sensors are presented: i) first of them is based on fiber Bragg grating (FBG) combined with DFB laser diode with controlling wavelength emission by laser temperature and ii) second one is used  the fiber ring laser from Erbium-doped fiber and two FBG operated as  reference and sensing probe. The etched-fiber Bragg grating (e-FBG) as sensing probe is suitable for bio- and/ or chemical sensors. A novel photonic sensor can increase sensitivity and measuring accuracy of device by the narrow line-width of reflection spectra from laser and the sensor can determine a refractive index variation of 2x10-4, which is similarly for high resolution spectrometer. The experimental results show that this sensing method could determine different mixing ratios of organic solvents in liquid environment with good repeatability, high accuracy and rapid response.Keywords:


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Dandan Pang ◽  
Qingmei Sui ◽  
Ming Wang ◽  
Yaozhang Sai ◽  
Rongyao Sun ◽  
...  

Structures and machines are very susceptible to some barely visible defects; acoustic emission (AE) is an effective technique of detecting defects and examining growth and location of these defects. In this paper, a new method was proposed to predict the position of the AE source. The dynamic strain signal from the AE source was acquired by fiber Bragg grating (FBG) sensors. Complex Morlet wavelet transform was used to extract narrowband signals from AE waves. It was proposed that the barycentric coordinate-based localization algorithm can be used to predict the coordinates of the AE source. The validation tests based on the designed AE detection system were performed on a 500 mm × 500 mm × 2 mm Al-alloy plate. The experimental results show that the proposed method is feasible.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Yuegang Tan ◽  
Li Cai ◽  
Bei Peng ◽  
Lijun Meng

With the continuous development of mechanical automation, the structural health monitoring techniques are increasingly high requirements for damage detection. So structural health monitoring (SHM) has been playing a significant role in terms of damage prognostics. The main contribution pursued in this investigation is to establish a detection system based on ultrasonic excitation and fiber Bragg grating sensing, which combines the advantages of the ultrasonic detection and fiber Bragg grating (FBG). Differencing from most common approaches, a new way of damage detection is based on fiber Bragg grating (FBG), which can easily realize distributed detection. The basic characteristics of fiber Bragg grating sensing system are analyzed, and the positioning algorithm of structural damage is derived in theory. On these bases, the detection system was used to analyze damage localization in the aluminum alloy plate of a hole with diameters of 6 mm. Experiments have been carried out to demonstrate that the sensing system was feasible and that the estimation method of the location algorithm was easy to implement.


2005 ◽  
Vol 119 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Xiao-Dong Wu ◽  
Cornelia Schmidt-Hattenberger ◽  
Kay Krüger ◽  
Jun Chen

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 18268-18285 ◽  
Author(s):  
Angelo Catalano ◽  
Francesco Bruno ◽  
Marco Pisco ◽  
Antonello Cutolo ◽  
Andrea Cusano

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 365 ◽  
Author(s):  
Guo-ming Ma ◽  
Ya-bo Li ◽  
Nai-qiang Mao ◽  
Cheng Shi ◽  
Bo Zhang ◽  
...  

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