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  4. Information recycling of NDE data sets
 
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2023
Conference Paper
Title

Information recycling of NDE data sets

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.
Author(s)
Leinenbach, Frank  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Sprau, Bernd  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Stumm, Christopher  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Mainwork
SMSI 2023, Sensor and Measurement Science International  
Conference
Conference "Sensor and Measurement Science International" 2023  
Open Access
File(s)
Download (595.01 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.5162/SMSI2023/A2.3
10.24406/publica-1815
Additional link
Full text
Language
English
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Keyword(s)
  • NDE 4.0

  • Data Cycle

  • DICONDE

  • SPARQL

  • NDE Data Space

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