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

Research output: Contribution to journalArticle

1 Citation (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

Fingerprint

thermograms
Defects
Steel
defects
Testing
glass fibers
Aluminum
Glass fibers
image processing
Image processing
Carbon
steels
Infrared radiation
aluminum
operators
composite materials
carbon
Composite materials
Hot Temperature
fiberglass

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

Cite this

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