Partificial neural networks for processing big data using the example of vibration tests

Abstract

The proposed research work is aimed at creating and studying artificial intelligence neural network models to search for structural dependencies in vibration spectra during bench tests of diesel engines with a wide power range and various design features. Research is carried out on the basis of data obtained from bench tests of engines.