2007
DOI: 10.1364/ao.46.002205
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Accuracy improvement in peak positioning of spectrally distorted fiber Bragg grating sensors by Gaussian curve fitting

Abstract: To improve measurement accuracy of spectrally distorted fiber Bragg grating temperature sensors, reflection profiles were curve fitted to Gaussian shapes, of which center positions were transformed into temperature information. By applying the Gaussian curve-fitting algorithm in a tunable bandpass filter demodulation scheme, approximately 0.3 degrees C temperature resolution was obtained with a severely distorted grating sensor, which was much better than that obtained using the highest peak search algorithm. … Show more

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Cited by 39 publications
(19 citation statements)
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“…The comparison is given by the coefficient of determination or R 2 value. The Bragg peak was identified using a traditional Gaussian fitting algorithm [31]. Figure 11(a) indicates that in the first 400 hours of exposure -when the SNR is still highthe R 2 value is larger than 90%.…”
Section: A Snr Evaluation In Reactor Environmentmentioning
confidence: 99%
See 1 more Smart Citation
“…The comparison is given by the coefficient of determination or R 2 value. The Bragg peak was identified using a traditional Gaussian fitting algorithm [31]. Figure 11(a) indicates that in the first 400 hours of exposure -when the SNR is still highthe R 2 value is larger than 90%.…”
Section: A Snr Evaluation In Reactor Environmentmentioning
confidence: 99%
“…We therefore compared several common and less common algorithms to try to improve the useful sensor time. Figure 10 compares a maximum detection, a quadratic and cubic interpolation, a Gaussian fit [31], a centroid approximation and a phase [34], [35] and cross correlation [36] technique. The horizontal axis is the time given in hours while the vertical axis gives the Bragg wavelength in arbitrary units.…”
Section: B Improvement Of Sensor Useful Timementioning
confidence: 99%
“…Any void or non-uniform shrinkage of the epoxy consequently induces non-uniform strain on the FBG and causes substantial distortion like occurrence of ripples in the corresponding wavelength spectra and/or broadening of FBG spectra and this leads to increased system noise and false measurements with the requirement of special techniques to demodulate the sensor signal [9]. Imperfect bonding may also affect the strain transfer characteristics from the host to the sensor.…”
Section: Introductionmentioning
confidence: 99%
“…From Chapter 3, a FBG sensor spectrum can be approximated as a Gaussian function [66,67]. Therefore, in this particular experiment, we applied a Gaussian curve fit to each strain related scanned traces.…”
Section: Fbg Sensor Interrogation Using Time Interval Methodsmentioning
confidence: 99%
“…3.15 will be an approximation of the wavelength domain spectrum. From here, there are several signal processing techniques to post-process the scanned spectrum in order to detect the center wavelength of optical sensors, such as: detecting the peak or maximum, the centroid approach, applying the cross-correlation method and applying polynomial or Gaussian curve fitting algorithms [66,67].…”
Section: Theoretical Analysis Of Scanning and Zero-crossing Detectionmentioning
confidence: 99%