Review on Artificial Intelligence Applications in Material Diagnostics and Technology

The paper presents the review of works devoted to the material engineering – diagnostic and technological application of artificial neural networks (ANN). This review has been realized by activities created in narrow connection with the industrial sphere, mainly as a constructive step to development...

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Bibliographic Details
Main Authors: Jančíková Zora Koštialová, Koštial Pavel, Heger Milan, Frischer Robert, David Jiří, Špička Ivo, Garzinová Romana, Ružiak Ivan, Špačková Hana
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821004030
Description
Summary:The paper presents the review of works devoted to the material engineering – diagnostic and technological application of artificial neural networks (ANN). This review has been realized by activities created in narrow connection with the industrial sphere, mainly as a constructive step to development of Industry 4.0 philosophy. The review covers different materials measurement and evaluation. There have been investigated such materials as rubber blends, laminates, optical glasses; and also survey covers degradation processes appeared in industrial applications as well as the material defect evaluation and wearing diagnostics. The last part of the review offers output concerning infrared technique application of ANN. This review can serve as an inspiration for new challenges.
ISSN:2261-236X