Machine Vision-Based Fatigue Crack Propagation System

被引：5

作者：

Gebauer, Jan ^{[1
]}

Sofer, Pavel ^{[1
]}

Jurek, Martin ^{[1
]}

Wagnerova, Renata ^{[1
]}

Czebe, Jiri ^{[1
]}

机构：

[1] VSB Tech Univ Ostrava, Dept Control Syst & Instrumentat, Ostrava 70800, Czech Republic

来源：

SENSORS | 2022年 / 22卷 / 18期

关键词：

crack; propagation; surface crack; machine vision; National Instruments; Vision Builder;

D O I：

10.3390/s22186852

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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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收藏

页数：15

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