Evidence map›Paper›PMID 37430867›Full record

ArticleSensors (Basel, Switzerland)2023

High-Temperature Fiber-Optic Fabry-Perot Vibration Sensor Based on Single-Crystal Sapphire.

Hua Liu, Pinggang Jia, Chengxin Su, Aihao Zhao, Jia Liu, Qianyu Ren, Jijun Xiong

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hua LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Pinggang JiaState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-4547-0992
Chengxin SuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Aihao ZhaoState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Jia LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Qianyu RenState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Jijun XiongState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.

Funding

Innovative Research Group Project of National Science Foundation of China 51821003National Natural Science Foundation of China 52075505National Natural Science Foundation of China 62105304National Science and Technology Major Project of China J2019-V-0015-0110special fund for Science and Technology Innovation Teams of Shanxi Province 202204051001016
6 · The paper itself

Abstract

In this paper, a fiber-optic Fabry-Perot (F-P) vibration sensor that can work at 800 °C is proposed. The F-P interferometer is composed of an upper surface of inertial mass placed parallel to the end face of the optical fiber. The sensor was prepared by ultraviolet-laser ablation and three-layer direct-bonding technology. Theoretically, the sensor has a sensitivity of 0.883 nm/g and a resonant frequency of 20.911 kHz. The experimental results show that the sensitivity of the sensor is 0.876 nm/g in the range of 2 g to 20 g at an operating frequency of 200 Hz at 20 °C. The nonlinearity was evaluated from 20 °C to 800 °C with a nonlinear error of 0.87%. In addition, the z-axis sensitivity of the sensor was 25 times higher than that of the

Indexed as

Fabry–Perotfiber-optic sensorhigh-temperature applicationssingle-crystal sapphirevibration measurement

Identifiers

PMID37430867
PMCPMC10221403

What OpenQuestion holds

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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.