Evidence map›Paper›PMID 39000845›Full record

ArticleSensors (Basel, Switzerland)2024

Thickness Measurements with EMAT Based on Fuzzy Logic.

Yingjie Shi, Shihui Tian, Jiahong Jiang, Tairan Lei, Shun Wang, Xiaobo Lin, Ke Xu

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. 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. Electromagnetic Sensing and Its Applications.Sensors (Basel, Switzerland) · 2026
    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.

Yingjie ShiCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.
Shihui TianCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-1631-1968
Jiahong JiangCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.
Tairan LeiCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.
Shun WangCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-9458-6089
Xiaobo LinInstitute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
Ke XuCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0003-1809-7413

Funding

National Natural Science Foundation of China 52174352
6 · The paper itself

Abstract

Metal thickness measurements are essential in various industrial applications, yet current non-contact ultrasonic methods face limitations in range and accuracy, hindering the widespread adoption of electromagnetic ultrasonics. This study introduces a novel combined thickness measurement method employing fuzzy logic, with the aim of broadening the applicational scope of the EMAT. Leveraging minimal hardware, this method utilizes the short pulse time-of-flight (TOF) technique for initial thickness estimation, followed by secondary measurements guided by fuzzy logic principles. The integration of measurements from the resonance, short pulse echo, and linear frequency modulation echo extends the measurement range while enhancing accuracy. Rigorous experimental validation validates the method's effectiveness, demonstrating a measurement range of 0.3-1000.0 mm with a median error within ±0.5 mm. Outperforming traditional methods like short pulse echoes, this approach holds significant industrial potential.

Indexed as

electromagnetic acoustic transducerfuzzy logicpulse compressionthickness measurement

Identifiers

PMID39000845
PMCPMC11244354

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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.