An efficient method for determining transmission characteristics of superstructure fiber Bragg grating and its use for multiparameter sensing

Sengupta, S.; Ghorai, S.K.

doi:10.1016/j.yofte.2014.11.009

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…The constant periodic SFBG includes a series of grating then non-grating segments with equal lengths. The grating segments act as normal FBG and result in several reflectance spectrum peaks in the side of reflectance (deflection) (Sengupta, 2015). These peaks are located at different frequencies with different reflectivity and other higher-order Fourier components (Eggleton et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Modified superstructure fiber Bragg grating for a filter application

Hemed

2021

KJS publishes peer-review articles in Mathematics, Computer Sci

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Performance of a modified superstructure fiber Bragg grating is carried out by; simulation using a Matlab and then by optisystem7. Results for these two simulations are compared with an experimental investigation for three special FBGs in addition to a standard one. These four FBGs have one, two, three, and four regions. For each region, Bragg wavelength is increased around 6nm, with constant spacing between every two regions. Laser reflectance (R) and transmittance (T) spectra and their corresponding number of peaks and their bandwidths are observed and analyzed in a constant temperature and strain. Results for this investigation indicate enhancement for the modified FBG to be an effective filter that can be employed for communication as well as sense. Filtering the transmitted signals could be satisfied in a simple and more efficiency than the traditional device.

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Section: Introductionmentioning

confidence: 99%

Modified superstructure fiber Bragg grating for a filter application

Hemed

2021

KJS publishes peer-review articles in Mathematics, Computer Sci

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“…While structure vibration reconstruction can be understood as a transformation process of the original strain data, it can be treated as a kind of generalized signal transmission. So dynamic data transmission features can be defined including signal amplitude attenuation, phase delay, and noise mixing [27,28]. So accurate dynamic data error analysis can be done using system identification methods by taking the vibration response as the input of the reconstruction system and the reconstruction results as the output.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure

Zhang

Zhu²,

Gao³

et al. 2016

Shock and Vibration

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Shape reconstruction of aerospace plate structure is an important issue for safe operation of aerospace vehicles. One way to achieve such reconstruction is by constructing smart fiber Bragg grating (FBG) plate structure with discrete distributed FBG sensor arrays using reconstruction algorithms in which error analysis of reconstruction algorithm is a key link. Considering that traditional error analysis methods can only deal with static data, a new dynamic data error analysis method are proposed based on LMS algorithm for shape reconstruction of smart FBG plate structure. Firstly, smart FBG structure and orthogonal curved network based reconstruction method is introduced. Then, a dynamic error analysis model is proposed for dynamic reconstruction error analysis. Thirdly, the parameter identification is done for the proposed dynamic error analysis model based on least mean square (LMS) algorithm. Finally, an experimental verification platform is constructed and experimental dynamic reconstruction analysis is done. Experimental results show that the dynamic characteristics of the reconstruction performance for plate structure can be obtained accurately based on the proposed dynamic error analysis method. The proposed method can also be used for other data acquisition systems and data processing systems as a general error analysis method.

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