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Sensors 2014, 14(12), 24258-24277; doi:10.3390/s141224258

Influence of Fiber Bragg Grating Spectrum Degradation on the Performance of Sensor Interrogation Algorithms

1
Department of Mechanical Engineering, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
2
Faculty of Applied Engineering, University of Antwerp, Campus Hoboken Salesianenlaan 90, 2660 Antwerp, Belgium
3
Department of Applied Physics and Photonics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
*
Author to whom correspondence should be addressed.
Received: 20 October 2014 / Revised: 26 November 2014 / Accepted: 5 December 2014 / Published: 16 December 2014
(This article belongs to the Section Physical Sensors)
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Abstract

The working principle of fiber Bragg grating (FBG) sensors is mostly based on the tracking of the Bragg wavelength shift. To accomplish this task, different algorithms have been proposed, from conventional maximum and centroid detection algorithms to more recently-developed correlation-based techniques. Several studies regarding the performance of these algorithms have been conducted, but they did not take into account spectral distortions, which appear in many practical applications. This paper addresses this issue and analyzes the performance of four different wavelength tracking algorithms (maximum detection, centroid detection, cross-correlation and fast phase-correlation) when applied to distorted FBG spectra used for measuring dynamic loads. Both simulations and experiments are used for the analyses. The dynamic behavior of distorted FBG spectra is simulated using the transfer-matrix approach, and the amount of distortion of the spectra is quantified using dedicated distortion indices. The algorithms are compared in terms of achievable precision and accuracy. To corroborate the simulation results, experiments were conducted using three FBG sensors glued on a steel plate and subjected to a combination of transverse force and vibration loads. The analysis of the results showed that the fast phase-correlation algorithm guarantees the best combination of versatility, precision and accuracy. View Full-Text
Keywords: fiber Bragg grating; optical sensing; peak detection algorithms; spectral distortion; dynamic measurements; precision and accuracy fiber Bragg grating; optical sensing; peak detection algorithms; spectral distortion; dynamic measurements; precision and accuracy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lamberti, A.; Vanlanduit, S.; De Pauw, B.; Berghmans, F. Influence of Fiber Bragg Grating Spectrum Degradation on the Performance of Sensor Interrogation Algorithms. Sensors 2014, 14, 24258-24277.

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