Training of a neural network to determine damage to the coating of various surfaces

Ziyazetdinov Timur Rifovich, Latypov Bulat Fidelevich, Muhetdinov Amir Ruslanovich

this article describes the creation and operation of a neural network that can detect visible damage to various surfaces and be used to prevent the consequences of fatigue failure of various kinds of structures due to cracks due to external and internal factors of influence.

Keywords:neural network, damage, surface, dataset, machine learning, sampling