ITM Web Conf.
Volume 18, 20187th Seminar on Industrial Control Systems: Analysis, Modeling and Computing (ICS 2018)
|Number of page(s)||3|
|Published online||09 April 2018|
Data traffic filtration of automated non-destructive testing based on an artificial neural network
JSC «NIKIMT-Atomstroy», Moscow, Russian Federation
* Corresponding author: KosachAA@atomrus.ru
The principle of constructing a universal software and hardware platform for the collection, processing and storage of data obtained as a result of non-destructive testing of products is considered. The platform also includes a neural network module for filtering data traffic, which has a wide potential for application: from image and multidimensional signal processing to data classification. The system of remote leakage control, built on the basis of a universal digital platform with artificial neural network, is described.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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