Machine Vision-Based Fatigue Crack Propagation System

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F22%3A10250395" target="_blank" >RIV/61989100:27230/22:10250395 - isvavai.cz</a>
Result on the web
<a href="https://mdpi-res.com/d_attachment/sensors/sensors-22-06852/article_deploy/sensors-22-06852-v2.pdf?version=1663065648" target="_blank" >https://mdpi-res.com/d_attachment/sensors/sensors-22-06852/article_deploy/sensors-22-06852-v2.pdf?version=1663065648</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22186852" target="_blank" >10.3390/s22186852</a>

Result language
angličtina
Original language name
Machine Vision-Based Fatigue Crack Propagation System
Original language 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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering

Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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