Lectures 2023
DOI: 10.5162/smsi2023/a2.3
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A2.3 - Information recycling of NDE data sets

F. Leinenbach,
B. Sprau,
C. Stumm

Abstract: NDE data provides essential information for the evaluation and characterization of materials and components. These could be used along the entire value chain, for example, for process optimization or as training data for AI applications. However, this requires not only the unique identification of the component or material, but also the continuous readability of the NDE data sets. In this presentation, technical challenges, and solutions for the development of a data cycle are presented.

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