Generalized linear model for enhancing the temperature measurement performance in Brillouin optical time domain analysis fiber sensor
Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed...
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| Main Authors: | , , |
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| Format: | Article |
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Academic Press Inc.
2023
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| Summary: | Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed temperature sensing; Generalized linear model; Low signal-to-noise ratio; Temperature prediction; Temperature resolution; Time domain analysis |
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