Active thermal inspection of composite materials with the use of neural networks

Research output: Contribution to journalArticle

4 Citations (Scopus)


The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.

Original languageEnglish
Pages (from-to)655-662
Number of pages8
JournalRussian Journal of Nondestructive Testing
Issue number10
Publication statusPublished - 1 Oct 2011



  • Composite materials
  • Neural network
  • Thermal inspection
  • Thermal tomography

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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