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

Результат исследований: Материалы для журналаСтатья

2 Цитирования (Scopus)


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.

Язык оригиналаАнглийский
Страницы (с-по)278-282
Число страниц5
ЖурналRussian Journal of Nondestructive Testing
Номер выпуска4
СостояниеОпубликовано - 1 апр 2018


ASJC Scopus subject areas

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