Evidence map›Paper›PMID 40431936›Full record

ArticleSensors (Basel, Switzerland)2025

Experimental Verification of High-Temperature Resistance and High Resolution of Inductive Tip Clearance Measurement System.

Ziyu Zhao, Lingqiang Zhao, Yaguo Lyu, Zhenxia Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

4 authors.

Ziyu ZhaoSchool of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.
Lingqiang ZhaoSchool of Power and Energy, Northwestern Polytechnical University, Xi'an 710129, China.
Yaguo LyuSchool of Power and Energy, Northwestern Polytechnical University, Xi'an 710129, China.ORCID 0000-0003-2336-0503
Zhenxia LiuSchool of Power and Energy, Northwestern Polytechnical University, Xi'an 710129, China.

Funding

China Postdoctoral Science Foundation; 2023M734285National Nature Science of China; 52205581Shaanxi Science and Technology Association; 20230439
6 · The paper itself

Abstract

An inductive clearance measurement sensor has advantages of good anti-interference, fast response speed, and high sensitivity, and it has obvious technical potential in aeroengine turbine tip clearance measurement. In this paper, a rotor dynamic tip clearance measurement experiment system was designed based on a high-resolution inductive measurement system. The high temperature calibration experiment, performance verification experiment, and dynamic clearance measurement experiment under varying operating conditions were used to verify the high-temperature dynamic measurement performance of the measurement system. The resolution was used as the evaluation parameter of measurement performance. The experimental result shows the system has good resolution and dynamic response at 1000 °C, and the dynamic resolution reaches 10 μm in the 3 mm measuring range. The varying condition experiment results show that the blade deformation caused by the speed change of 1000-3000 r/min and the temperature change of 600-1000 °C can be resolved, and the resolution reaches about 10 μm. The research results verify that the inductance clearance measurement system has the characteristics of high temperature resistance and high resolution, and the technical specifications of clearance detection meet the basic requirements of dynamic clearance measurement of turbine tips, which provides an effective detection method for aeroengine health monitoring.

Indexed as

dynamic tip clearancehigh resolutionhigh temperatureinductive sensor

Identifiers

PMID40431936
PMCPMC12116069

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.