Now showing items 1-2 of 2

    • Deep Learning Automated System for Thermal Defectometry of Multilayer Materials 

      Momot, A. S.; Galagan, R. M.; Gluhovskii, V. Yu. (БНТУ, 2021)
      Currently, along with growth in industrial production, the requirements for product quality testing are also increasing. In the tasks of defectoscopy and defectometry of multilayer materials, the use of thermal nondestructive testing method is promising. At the same time, interpretation of thermal testing data is complicated by a number of factors, which makes the use of traditional ...
      2021-07-07
    • Smartphone-Based Automated Non-Destructive Testing Devices 

      Petryk, V. E.; Protasov, A. G.; Galagan, R. M.; Muraviov, A. V.; Lysenko, I. I. (БНТУ, 2020)
      Currently, non-destructive testing is an interdisciplinary field of science and technology that serves to ensure the safe functioning of complex technical systems in the face of multifactorial risks. In this regard, there is a need to consider new information technologies based on intellectual perception, recognition technology, and general network integration. The purpose of ...
      2020-12-18