FORMATION OF A HIGHLY INFORMATIVE DIGITAL SIGNAL IMAGE OF AN AUTOMATED CONTROL SYSTEM USING TIME-FREQUENCY REPRESENTATION AND TWO-DIMENSIONAL DIGITAL FILTERING TECHNOLOGIES

Autor: A.N. Ragozin, N.S. Prytkov, A.V. Portnov, S.S. Lysov
Rok vydání: 2020
Předmět:
Zdroj: Journal of the Ural Federal District. Information security. 20:69-80
ISSN: 2225-5443
2225-5435
DOI: 10.14529/secur200308
Popis: The study examines the technology of forming a high-informative digital image of the ob-served time signal of an automated control system (ACS). Formation of the signal image in-cludes the stage of displaying the signal on the time-frequency representation, obtaining the time-frequency image of the signal, the stage of two-dimensional digital filtering, the stage of formation of high-informative components of the signal image. The resulting digital image of the observed ACS signal represents the generated high-informative input data for further solv-ing a wide range of different problems using machine learning technologies and deep neural networks in the ACS of industrial systems. A wide range of tasks using the generated digital im-age of the signal implies, for example, the analysis of process behavior and identification of anomalies in the process of ACS, the implementation of diagnostic algorithms of technical equipment in the ACS, the detection of changes in the dynamics of the process of ACS under the influence of information attacks
Databáze: OpenAIRE