Evidence map›Paper›PMID 36015994›Full record

ArticleSensors (Basel, Switzerland)2022

Research on the Time Drift Stability of Differential Inductive Displacement Sensors with Frequency Output.

Xiaolong Lu, Guiyun Tian, Zongwen Wang, Wentao Li, Dehua Yang, Haoran Li, You Wang, Jijun Ni, Yong Zhang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 32 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Xiaolong LuSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-4264-6761
Guiyun TianSchool of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.ORCID 0000-0002-7563-1523
Zongwen WangSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Wentao LiSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Dehua YangCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Haoran LiSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-2453-1995
You WangNational Astronomical Observatories, Nanjing Institute of Astronomical Optics and Technology, Chinese Academy of Sciences, Nanjing 210042, China.
Jijun NiNational Astronomical Observatories, Nanjing Institute of Astronomical Optics and Technology, Chinese Academy of Sciences, Nanjing 210042, China.
Yong ZhangNational Astronomical Observatories, Nanjing Institute of Astronomical Optics and Technology, Chinese Academy of Sciences, Nanjing 210042, China.ORCID 0000-0003-2179-3698
Nanjing Institute of Astronomical Optics & Technology · CNSichuan University · CNUniversity of Electronic Science and Technology of China · CNNanjing University of Aeronautics and Astronautics · CN

Funding

International collaboration and exchange project of NSFC 6196020601International Science and Technology Innovation Cooperation Project of Sichuan Province 2021YFH0036National Natural Science Foundation of China U1931126National Natural Science Foundation of China U2031207School-local science and technology cooperation special fund project of Sichuan University and Zigong city 2020CDZG-12
6 · The paper itself

Abstract

An edge displacement sensor is one of the key technologies for building large segmented mirror astronomical optical telescopes. A digital interface is one novel approach for sensor technologies, digital transformation and the Internet of Things (IoT) in particular. Frequency output sensors and inductance-to-digital converter (LDC) demonstrated significant advantages in comparison with conventional sensors with analog-to-digital converter (ADC) interfaces. In order for the differential inductive frequency output displacement (DIFOD) sensor to meet the high-stability requirements of segmented mirror astronomical telescopes, it is important to understand the factors for time drift of the sensor. This paper focuses on the investigation of key factors of sensor structure and material, signal conditioning and interface, and fixtures for time drift to permanently installed applications. First, the measurement principle and probe structural characteristics of the sensor are analyzed. Then, two kinds of signal conditioning and digitalization methods using resonance circuits and LDC chips are implemented and compared. Finally, the time drift stability experiments are performed on the sensors with different signal conditioning methods and fixtures under controlled temperature. Experimental results show that the magnetic shield ring effectively improves the sensitivity and quality factor of the sensors, the time drift stability of the sensor using the signal conditioning based on resonance circuits is better than that of the sensors using LDC chips, and the root mean square (RMS) of the sensor time drift meets the requirement of 0.01 μm/24 h. This study will help further development of high-stability of frequency output sensors and IoT-based systems for scaled-up applications in the future.

Indexed as

differential inductive frequency output displacement sensorinductance digitizationLDCstabilitytime drift

Identifiers

PMID36015994
PMCPMC9413745
OpenAlexW4292975858

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.