Data traffic filtration of automated non-destructive testing based on an artificial neural network

Abstract

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.