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Updated: Aug 27, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
Published on: September 29, 2019
Jan Gebauer1, Pavel Šofer1, Martin Jurek1
1Department of Control Systems and Instrumentation, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic.
This study presents a low-cost machine vision system to detect fatigue crack propagation. The system uses an industrial camera, offering an alternative to traditional strain gauge sensors for monitoring material fatigue.
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