Currently, the means of measuring and converting information signals from equipment are widely used in industrial processing systems.
For the most part, modern systems of mechanical processing of materials use mainly single-channel systems that work on information signals that identify the physical parameters of the technological process. Such a narrow specialization of monitoring one of the parameters usually reduces the reliability of the results obtained and, as a consequence, the reliability of the entire control system.
The task of the work is to determine the possibilities of creating the foundations of the automated system on the basis of multi-channel information recording devices from processing equipment and possible approaches to the choice of criteria for the analysis of fluid information.
As a result of the given analysis of a condition of branch and its modern transformations, the module of system for data collection on process (from a set of sensors) is offered for development, with a possibility of their further transformation on certain dependence, storage, transfer, and a possibility of signaling of certain events, for example, faults, for use in production automation systems and for equipment not included in the systems.
At the same time, the multi-channel device of the sensor system provides opportunities to determine the full amount of information about the process. The basic modern means of control of work of technological processing CNC-equipment applied in the industry are investigated.
The most perspective directions of development of multicriteria methods and automated control systems of technological equipment in the part of creation of complex sensors are determined. These sensory complexes register signals that are different in physical phenomena. The main approaches to the creation of control systems provide opportunities to build a theoretical basis given the logic of the system of obtaining specific information data in the automation of technological processes.
Promising research at creating algorithms for such complex systems of quality control and diagnostics of technological processes can be aimed.
FORMATION OF A FORECAST OF MULTICOMPONENT TIME SERIES OF DATA USING DIGITAL FILTERING METHODS AND A PREDICTIVE AUTOENCODER IN ORDER TO DETECT ANOMALIES IN THE OPERATION OF AUTOMATED CONTROL SYSTEMS FOR TECHNOLOGICAL PROCESSES UNDER THE INFLUENCE OF CYBERATTACKS
