Evidence map›Paper›PMID 39205007›Full record

ArticleSensors (Basel, Switzerland)2024

Performance Study of F-P Pressure Sensor Based on Three-Wavelength Demodulation: High-Temperature, High-Pressure, and High-Dynamic Measurements.

Maocheng Guo, Qi Zhang, Hongtian Zhu, Rui Liang, Yongqiu Zheng, Xiang Zhu, Enbo Wang, Zhaoyi Li, Chenyang Xue, Zhenyin Hai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Maocheng GuoSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.ORCID 0009-0001-4858-1479
Qi ZhangSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.ORCID 0009-0006-8573-176X
Hongtian ZhuSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.
Rui LiangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0009-0007-9384-6492
Yongqiu ZhengState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Xiang ZhuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0009-0008-5265-0263
Enbo WangSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.ORCID 0009-0007-3956-3897
Zhaoyi LiSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.ORCID 0009-0005-3757-597X
Chenyang XueSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.
Zhenyin HaiSchool of Aerospace Engineering, Xiamen University, Xiamen 361102, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

F-P (Fabry-Perot) pressure sensors have a wide range of potential applications in high-temperature, high-pressure, and high-dynamic environments. However, existing demodulation methods commonly rely on spectrometers, which limits their application to high-frequency pressure signal acquisition. To solve this problem, this study developed a self-compensated, three-wavelength demodulation system composite with an F-P pressure sensor and a thermocouple to construct a comprehensive sensing system. The system produces accurate pressure measurements in high-temperature, high-pressure, and high-dynamic environments. In static testing at room temperature, the sensing system shows excellent linearity, and the pressure sensitivity is 158.48 nm/MPa. In high-temperature testing, the sensing system maintains high linearity in the range of 100 °C to 700 °C, with a maximum pressure-indication error of about 0.13 MPa (0~5 MPa). In dynamic testing, the sensor exhibits good response characteristics at 1000 Hz and 5000 Hz sinusoidal pressure frequencies, with a signal-to-noise ratio (SNR) greater than 37 dB and 45 dB, respectively. These results indicate that the sensing system proposed in this study has significant competitive advantages in the field of high-temperature, high-speed, and high-precision pressure measurements and provides an important experimental basis and theoretical support for technological progress in related fields.

Indexed as

demodulation algorithmdynamic signalsFabry–Perot sensorhigh temperature and high pressure

Identifiers

PMID39205007
PMCPMC11359956

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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.