Creating an automated system elements for measuring the optical fibers brillouin shift in industrial production

Krivosheev, A. I.; Konstantinov, Yu. A.

doi:10.7242/2658-705x/2021.4.4

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…To have the right to apply other techniques after the BWC-profile calculation, we must estimate the curve shape at first [ 43 ]. The convolution of two Lorentzian functions shifted relative to each other by some value

is given by (here we neglect discretization effects and transit from summation to integration)

where w is the spectrum width and

is the BFS.…”

Section: Backward Correlation (Bwc) Methods Theorymentioning

confidence: 99%

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

Nordin

Abdullah

Zan

et al. 2022

Sensors

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In this paper, we studied the possibility of increasing the Brillouin frequency shift (BFS) detection accuracy in distributed fibre-optic sensors by the separate and joint use of different algorithms for finding the spectral maximum: Lorentzian curve fitting (LCF, including the Levenberg–Marquardt (LM) method), the backward correlation technique (BWC) and a machine learning algorithm, the generalized linear model (GLM). The study was carried out on real spectra subjected to the subsequent addition of extreme digital noise. The precision and accuracy of the LM and BWC methods were studied by varying the signal-to-noise ratios (SNRs) and by incorporating the GLM method into the processing steps. It was found that the use of methods in sequence gives a gain in the accuracy of determining the sensor temperature from tenths to several degrees Celsius (or MHz in BFS scale), which is manifested for signal-to-noise ratios within 0 to 20 dB. We have found out that the double processing (BWC + GLM) is more effective for positive SNR values (in dB): it gives a gain in BFS measurement precision near 0.4 °C (428 kHz or 9.3 με); for BWC + GLM, the difference of precisions between single and double processing for SNRs below 2.6 dB is about 1.5 °C (1.6 MHz or 35 με). In this case, double processing is more effective for all SNRs. The described technique’s potential application in structural health monitoring (SHM) of concrete objects and different areas in metrology and sensing were also discussed.

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is given by (here we neglect discretization effects and transit from summation to integration)

where w is the spectrum width and

is the BFS.…”

Section: Backward Correlation (Bwc) Methods Theorymentioning

confidence: 99%

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

Nordin

Abdullah

Zan

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

Creating an automated system elements for measuring the optical fibers brillouin shift in industrial production

Cited by 1 publication

References 6 publications

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

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