Enhancement of measurement accuracy in fiber Bragg grating sensors by using digital signal processing

Chan, Chi Chiu; Jin, Wa; Demokan, M.S.

doi:10.1016/s0030-3992(99)00071-7

Cited by 41 publications

(9 citation statements)

References 5 publications

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“…This treatment should reduce as much as possible the FBG position errors. The key process here is to adapt an efficient filtering [19] in order to retrieve a clean FBG signal. High-frequency interferometric noise is easily suppressed by a low-pass filter (Fig.…”

Section: Signal Processing Methodsmentioning

confidence: 99%

Fiber Bragg grating-based thermometer for drill bit temperature monitoring

Llera¹,

Tow²,

Bergerat³

et al. 2019

Appl. Opt.

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The temperature measurement of a drill bit during an implantology drilling process is proposed by using a fiber Bragg grating fitted inside the drill bit. Due to the rotational nature of the drilling process, a free-space fiber-optic rotary joint is used for interrogating the fiber Bragg grating. Due to mechanical clearances and interferometric noise induced at this rotary joint, signal integrity is strongly deteriorated and is not workable without adequate measures. These measures involve a proper fiber lensing and a signal processing in order to remove the interferometric noise. Finally, a heating measurement on an implantology drill bit is performed and discussed for drilling several holes on a pork jaw sample.

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Section: Signal Processing Methodsmentioning

confidence: 99%

Fiber Bragg grating-based thermometer for drill bit temperature monitoring

Llera¹,

Tow²,

Bergerat³

et al. 2019

Appl. Opt.

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“…The reflectivity of the FBG sensor approximates a Gaussian shape, 27 which can be expressed as Ri(λi,λB,i)=Ipeaki exp[−4 ln 2(λi−λB,iΔλB,i)2],where Ri(λi,λB,i) is the reflectance that represents the wavelength point λi on the i’th spectral signal. Ipeaki and ΔλB,i are the peak reflectivity and full-width at half-maximum (FWHM) of FBG sensor, respectively.…”

Section: System Of Fbg Sensor Networkmentioning

confidence: 99%

“…The reflectivity of the FBG sensor approximates a Gaussian shape, 27 which can be expressed as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 0 1 ; 1 1 6 ; 6 6 2…”

Section: Principles Of the Fbg Sensor Networkmentioning

confidence: 99%

Overlapped spectral demodulation of fiber Bragg grating using convolutional time-domain audio separation network

Shan

Xia

et al. 2023

Opt. Eng.

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In fiber Bragg grating (FBG) sensor networks, the highly overlapped spectral signals can lead to considerable errors in center wavelength demodulation. To tackle this problem, we utilize the fully convolutional time-domain audio separation network (Conv-TasNet) model to produce a distinct spectral signal, which is then demodulated using the dual-weight centroid approach to determine the spectral signal's center wavelength. Specifically, we first demonstrate the theoretical feasibility of the Conv-TasNet model on simulated data. Experimental results show that the Conv-TasNet model can separate the signals of three FBG sensors. After that, we collect the spectral data and further train and validate the model based on the pretrained model of the simulated data to see how it performs on the real data. The experiments consistently illustrate superior performance of our Conv-TasNet model that can also separate actual spectrum signals. The same performance can be achieved by applying the pretrained model but with less training data. The model obtains a competitive performance compared to currently available methods. Moreover, the method provides a solution for improving the multiplexing performance of the FBG sensor network.

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“…[7][8][9]12 The latter configuration is more convenient when it is used with a CCD spectrometer which can be easily interfaced with a computer for data collection and signal processing. [7][8][9]12 The latter configuration is more convenient when it is used with a CCD spectrometer which can be easily interfaced with a computer for data collection and signal processing.…”

Section: Signal Acquisitionmentioning

confidence: 99%

Digital demodulation algorithm for white-light fiber optic interferometric sensors

Miridonov

Shlyagin²,

Khomenko³

et al. 2002

SPIE Proceedings

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New digital demodulation algorithm for white-light interferometric sensors with signal processing in spectral domain is presented. The algorithm uses phase calculation from an interferometric pattern in the acquired spectrum from the sensor to evaluate the optical path difference. Suggested demodulation method provides high accuracy with uncertainty close to theoretical limit imposed by system noise. For a fiber-optic sensor with birefringent fiber and a CCD spectrometer for signal acquisition, the algorithm demonstrated the random error of the optical path difference estimate about 0.18 nm.

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Enhancement of measurement accuracy in fiber Bragg grating sensors by using digital signal processing

Cited by 41 publications

References 5 publications

Fiber Bragg grating-based thermometer for drill bit temperature monitoring

Fiber Bragg grating-based thermometer for drill bit temperature monitoring

Overlapped spectral demodulation of fiber Bragg grating using convolutional time-domain audio separation network

Digital demodulation algorithm for white-light fiber optic interferometric sensors

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