Abstract
Generating vast volumes of data by continuously moving systems in industrial environments presents a significant challenge. The carbon fiber reinforced polymer (CFRP) tapes control exemplifies this issue, with a strongly increasing production these last decades, and yielding several tens of meters to inspect within a short time. It leads to a pressing need for rapid and effective quality control and decision-making systems. This study introduces an innovative method for mitigating data overload by focusing on the defective sections of the tape by creating a corresponding virtual twin to assess fiber content variations. Data analysis techniques are employed to differentiate flawless from faulty regions and thermal methods are applied to characterize observed defects. This article presents a comprehensive approach for enabling the analysis of tens of meters of tapes at 25 cm/s speed scroll within a competitive timeframe.
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