Evidence map›Paper›PMID 38930745›Full record

ArticleMicromachines2024

Digital Eddy Current Detection Method Based on High-Speed Sampling with STM32.

Xiong Cao, Erlong Li, Zilan Yuan, Kaituo Zheng

Abstract read
In one paragraph

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

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

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

4 authors.

Xiong CaoSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0009-0006-4336-1641
Erlong LiSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Zilan YuanSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-6256-6806
Kaituo ZhengSchool of Mechanical Engineering, Sichuan University, Chengdu 610065, China.

Funding

National Key R&D Program of China (Grant No.2022YFF0605600), Natural Science Foundation of China (Grant No.52377012), Natural Science Foundation of Sichuan (2023YFG0186),and Zigong Program of Sichuan University (GrantNo.2022CDZG-18). 2022YFF0605600; 52377012; 2023YFG0186; 2022CDZG-18
6 · The paper itself

Abstract

The electromagnetic eddy current non-destructive testing system enables the non-destructive analysis of surface defect information on tested materials. Based on the principles of eddy current detection, this paper presents a digital eddy current detection method using high-speed sampling based on STM32. A differential eddy current coil is used as the detection probe, and the combination of a differential bridge and a differential amplifier circuit helps to reduce common-mode noise interference. The detection signal is collected via an STM32-based acquisition circuit and transmitted to the host computer through Ethernet for digital demodulation processing. The host computer performs operations such as smoothing averaging, sinusoidal fitting, and outlier removal to extract the amplitude and phase of the detection signal. The system also visually displays the condition of the tested object's surface in real time through graphical visualization. Testing showed that this system can operate at frequencies up to 8.84 MHz and clearly identify defects as narrow as 1 mm on the surface of the tested steel plate.

Indexed as

digital demodulationeddy current detectionhigh-speed samplingsinusoidal fittingSTM32 microcontroller

Identifiers

PMID38930745
PMCPMC11205327

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.