Machine Vision-Based Fatigue Crack Propagation System †

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...

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Detalles Bibliográficos
Autores principales: Gebauer, Jan, Šofer, Pavel, Jurek, Martin, Wagnerová, Renata, Czebe, Jiří
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504353/
https://www.ncbi.nlm.nih.gov/pubmed/36146201
http://dx.doi.org/10.3390/s22186852
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author Gebauer, Jan
Šofer, Pavel
Jurek, Martin
Wagnerová, Renata
Czebe, Jiří
author_facet Gebauer, Jan
Šofer, Pavel
Jurek, Martin
Wagnerová, Renata
Czebe, Jiří
author_sort Gebauer, Jan
collection PubMed
description 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.
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spelling pubmed-95043532022-09-24 Machine Vision-Based Fatigue Crack Propagation System † Gebauer, Jan Šofer, Pavel Jurek, Martin Wagnerová, Renata Czebe, Jiří Sensors (Basel) Article 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. MDPI 2022-09-10 /pmc/articles/PMC9504353/ /pubmed/36146201 http://dx.doi.org/10.3390/s22186852 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gebauer, Jan
Šofer, Pavel
Jurek, Martin
Wagnerová, Renata
Czebe, Jiří
Machine Vision-Based Fatigue Crack Propagation System †
title Machine Vision-Based Fatigue Crack Propagation System †
title_full Machine Vision-Based Fatigue Crack Propagation System †
title_fullStr Machine Vision-Based Fatigue Crack Propagation System †
title_full_unstemmed Machine Vision-Based Fatigue Crack Propagation System †
title_short Machine Vision-Based Fatigue Crack Propagation System †
title_sort machine vision-based fatigue crack propagation system †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504353/
https://www.ncbi.nlm.nih.gov/pubmed/36146201
http://dx.doi.org/10.3390/s22186852
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AT jurekmartin machinevisionbasedfatiguecrackpropagationsystem
AT wagnerovarenata machinevisionbasedfatiguecrackpropagationsystem
AT czebejiri machinevisionbasedfatiguecrackpropagationsystem

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