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The System for Fatigue Crack Propagation Detection Based on Machine Vision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10248121" target="_blank" >RIV/61989100:27230/21:10248121 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454600" target="_blank" >http://dx.doi.org/10.1109/ICCC51557.2021.9454600</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454600" target="_blank" >10.1109/ICCC51557.2021.9454600</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The System for Fatigue Crack Propagation Detection Based on Machine Vision

  • Original language description

    This paper introduces a machine vision-based system design that is a promising solution for such a problem like a technology detecting the fatigue crack propagation. Fatigue cracks propagate because of alternating mechanical stresses. In technical components they usually start on surfaces at points of stress concentration. The system uses USB 3.0 camera with the Sony IMX264 CMOS sensor delivers 35 frames per second at 5.0 MP resolution in cooperation of PC based NI VisionBuilder software. Various segmentation methods have been explored to extract region of interest in acquired images and compared based on the capability of segmentation in real-time. The paper presents results of algorithm outputs taken on fatigue crack propagation samples and implementation of a machine vision system. (C) 2021 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • 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

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 22nd International Carpathian Control Conference, ICCC 2021

  • ISBN

    978-1-72818-609-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway

  • Event location

    Velké Karlovice, Czech Republic

  • Event date

    May 31, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article