Paper
17 December 2015 Correlation-based methods in calibrating an FBG sensor with strain field non-uniformity
S. Cięszczyk
Author Affiliations +
Proceedings Volume 9816, Optical Fibers and Their Applications 2015; 98160P (2015) https://doi.org/10.1117/12.2219930
Event: 16th Conference on Optical Fibers and Their Applications, 2015, Lublin and Naleczow, Poland
Abstract
Fibre Bragg gratings have many sensing applications, mainly for measuring strain and temperature. The physical quantity that influences grating uniformly along its length causes a related shift of the Bragg wavelength. Many peak detection algorithms have been proposed, among which the most popular are the detection of maximum intensity, the centroid detection, the least square method, the cross-correlation, auto-correlation and fast phase correlation. Nonuniform gratings elongation is a cause of spectrum deformation. The introduction of non-uniformity can be intentional or appear as an unintended effect of placing sensing elements in the tested structure. Heterogeneous impacts on grating may result in additional errors and the difficulty in tracking the Bragg wavelength based on a distorted spectrum. This paper presents the application of correlation methods of peak wavelength shifts estimation for non-uniform Bragg grating elongation. The autocorrelation, cross-correlation and fast phase correlation algorithms are considered and experimental spectra measured for axisymmetric strain field along the Bragg grating are analyzed. The strain profile consists of constant and variable components. The results of this study indicate the properties of correlation algorithms applied to moderately non-uniform elongation of an FBG sensor.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Cięszczyk "Correlation-based methods in calibrating an FBG sensor with strain field non-uniformity", Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98160P (17 December 2015); https://doi.org/10.1117/12.2219930
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KEYWORDS
Fiber Bragg gratings

Sensors

Detection and tracking algorithms

Fourier transforms

Calibration

Sensor calibration

Digital signal processing

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