Enhancement of detection accuracy of fiber Bragg grating sensors

Zeh, Thomas; Schweizer, H.; Meixner, A. E.; Purde, A.; Koch, Alexander W.

doi:10.1117/12.566700

Cited by 9 publications

(7 citation statements)

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“…The wavelength fit resolution was calculated as the standard deviation [Eq. (11) with N 500] between the measured data and their best fit. The jump magnitude was calculated as the peak-to-peak amplitude of the sudden jumps.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…This approach avoids sudden shifts in the fitted wavelength and improves the wavelength fit resolution. Using simulations and experiments, we investigate the static and dynamic behaviors of the proposed method and compare it with three other algorithms: COG, least squares Gaussian fitting, and the linear phase operator (LPO) algorithm [11].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic gate algorithm for multimode fiber Bragg grating sensor systems

Ganziy¹,

Jespersen²,

Woyessa

et al. 2015

Appl. Opt.

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We propose a novel dynamic gate algorithm (DGA) for precise and accurate peak detection. The algorithm uses a threshold-determined detection window and center of gravity algorithm with bias compensation. We analyze the wavelength fit resolution of the DGA for different values of the signal-to-noise ratio and different peak shapes. Our simulations and experiments demonstrate that the DGA method is fast and robust with better stability and accuracy than conventional algorithms. This makes it very attractive for future implementation in sensing systems, especially based on multimode fiber Bragg gratings.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic gate algorithm for multimode fiber Bragg grating sensor systems

Ganziy¹,

Jespersen²,

Woyessa

et al. 2015

Appl. Opt.

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“…Some of the multiple emission lines must be selected establishing a signal-to-noise rejecting threshold. These lines are modeled using a simplified Voigt function [20] and a sub-pixel algorithm to accurately estimate the peak central wavelength [21]. This parameter is especially relevant for identifying the emission lines.…”

Section: Proposed Spectroscopic Analysis Techniquementioning

confidence: 99%

Plasma spectroscopy analysis technique based on optimization algorithms and spectral synthesis for arc-welding quality assurance

et al. 2007

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A new plasma spectroscopy analysis technique based on the generation of synthetic spectra by means of optimization processes is presented in this paper. The technique has been developed for its application in arc-welding quality assurance. The new approach has been checked through several experimental tests, yielding results in reasonably good agreement with the ones offered by the traditional spectroscopic analysis technique.

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“…With this technique, the central peak wavelength estimation and, hence the spectral line identification, was performed by using the lineal phase operator ͑LPO͒ subpixel technique. 13 By substituting the traditional solutions used for the spectral lines characterization, like the Levenberg-Marquardt technique, this approach allows the real-time calculation of the electronic temperature of the plasma T e using a single pair of spectral lines. While the use of the LPO algorithm allows a more accurate estimation of the central wavelength associated to each spectral line, a cubic-spline interpolation of the noisy data is performed to obtain the peak intensities.…”

Section: Introductionmentioning

confidence: 99%

Robust technique for spectroscopic plasma analysis with application in real-time arc welding quality monitoring

et al. 2006

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A new real-time implementation of the Boltzmann-plot technique for optical spectroscopic analysis of thermal plasmas is presented. Applications are found in the monitoring of industrial processes in which plasma emission naturally occurs, such as arc and laser welding. Experimental results show the feasibility of using the Boltzmann-plot technique for real-time calculation of the electronic temperature of the plasma, a parameter that has been correlated with common defects found in the weld seam. The foundations of the proposed technique, its implementation, and its capability for the on-line detection of defects in tungsten inert gas ͑TIG͒ welding of steel parts are discussed.

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Enhancement of detection accuracy of fiber Bragg grating sensors

Cited by 9 publications

References 0 publications

Dynamic gate algorithm for multimode fiber Bragg grating sensor systems

Dynamic gate algorithm for multimode fiber Bragg grating sensor systems

Plasma spectroscopy analysis technique based on optimization algorithms and spectral synthesis for arc-welding quality assurance

Robust technique for spectroscopic plasma analysis with application in real-time arc welding quality monitoring

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