An Automated Practical Flaw-Identification Algorithm for Active Thermal Testing Procedures

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Results of analyzing the infrared thermograms of flawed carbon-, glass-fiber reinforced composites steel, and aluminum samples obtained in active thermal-testing procedures are described. The reproducibility of the results of testing conducted by thermography operators using manual and automated image-processing procedures has been evaluated. The advantage of an automated thermogram-analysis algorithm that halves the spread in informative parameters over manual data processing has been demonstrated.

Original languageEnglish
Pages (from-to)278-282
Number of pages5
JournalRussian Journal of Nondestructive Testing
Volume54
Issue number4
DOIs
Publication statusPublished - 1 Apr 2018

Keywords

  • defectoscopy
  • flaw marker
  • infrared thermography
  • inspection automation
  • statistical analysis

ASJC Scopus subject areas

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

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