High-Resolution Distributed Temperature Measurement Based on $\Phi$-OFDR Using Hampel Filter

We propose a distributed temperature measurement method based on phase-sensitive optical frequency (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Phi$</tex>-OFDR) with all grating fiber (AGF), employing Hampel filter to eliminate anomalous values between grating interval, achieving 1.13°C precision within a 220°C range.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10810098
Primary Topic
Neural Networks and Applications
Type
article
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High-Resolution Distributed Temperature Measurement Based on $\Phi$-OFDR Using Hampel Filter

Xian Zhou, Benzhang Wang, Fei Liu, Fei Cui et al.
Neural Networks and Applications
article

High-Resolution Distributed Temperature Measurement Based on $\Phi$-OFDR Using Hampel Filter

Xian Zhou, Benzhang Wang, Fei Liu, Fei Cui, Yiheng Cheng
article en

Abstract

We propose a distributed temperature measurement method based on phase-sensitive optical frequency (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Phi$</tex>-OFDR) with all grating fiber (AGF), employing Hampel filter to eliminate anomalous values between grating interval, achieving 1.13°C precision within a 220°C range.

China Aerospace Science and Industry Corporation (China) (CN), Hefei Institute of Technology Innovation (CN), University of Science and Technology Beijing (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Neural Networks and Applications
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