Evidence map›Paper›PMID 36991876›Full record

ArticleSensors (Basel, Switzerland)2023

Optical Frequency Domain Reflectometry Based on Multilayer Perceptron.

Guolu Yin, Zhaohao Zhu, Min Liu, Yu Wang, Kaijun Liu, Kuanglu Yu, Tao Zhu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Guolu YinKey Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China.
Zhaohao ZhuSchool of Microelectronics & Communication Engineering, Chongqing University, Chongqing 400044, China.
Min LiuSchool of Microelectronics & Communication Engineering, Chongqing University, Chongqing 400044, China.
Yu WangKey Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China.
Kaijun LiuKey Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China.
Kuanglu YuInstitute of Information Science, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.
Tao ZhuKey Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China.

Funding

Chongqing Talents: Exceptional Young Talents Project CQYC202005011Fundamental Research Funds for the Central Universities 2022CDJJMRH-005National Natural Science Foundation of China 61975022National Science Fund for Distinguished Young Scholars 61825501
6 · The paper itself

Abstract

We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A classification multilayer perceptron was applied to train and grasp the fingerprint features of Rayleigh scattering spectrum in the optical fiber. The training set was constructed by moving the reference spectrum and adding the supplementary spectrum. Strain measurement was employed to verify the feasibility of the method. Compared with the traditional cross-correlation algorithm, the multilayer perceptron achieves a larger measurement range, better measurement accuracy, and is less time-consuming. To our knowledge, this is the first time that machine learning has been introduced into an optical frequency domain reflectometry system. Such thoughts and results would bring new knowledge and optimization to the optical frequency domain reflectometer system.

Indexed as

machine learningmultilayer perceptronoptical frequency domain reflectometrystrain measurement

Identifiers

PMID36991876
PMCPMC10057011

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.