Evidence map›Paper›PMID 36146201›Full record

ArticleSensors (Basel, Switzerland)2022

Machine Vision-Based Fatigue Crack Propagation System.

Jan Gebauer, Pavel Šofer, Martin Jurek, Renata Wagnerová, Jiří Czebe

Abstract 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 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

5 authors.

Jan GebauerDepartment of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-2531-188X
Pavel ŠoferDepartment of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.
Martin JurekDepartment of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-4278-0995
Renata WagnerováDepartment of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.ORCID 0000-0001-9219-9632
Jiří CzebeDepartment of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-9923-2834

Funding

European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems CZ.02.1.01/0.0/0.0/16_019/0000867Ministry of Education, Youth and Sports SP2022/60
6 · The paper itself

Abstract

This paper introduces a machine vision-based system promising low-cost solution for detecting a fatigue crack propagation caused by alternating mechanical stresses. The fatigue crack in technical components usually starts on surfaces at stress concentration points. The presented system was designed to substitute a strain gauge sensor-based measurement using an industrial camera in cooperation with branding software. This paper presents implementation of a machine vision system and algorithm outputs taking on fatigue crack propagation samples.

Indexed as

Stress, MechanicalHumanscrackmachine visionNational Instrumentspropagationsurface crackVision Builder

Identifiers

PMID36146201
PMCPMC9504353

What OpenQuestion holds

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LicenceCC BY
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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.