Analysis of the Application of Machine Learning in Automatic Control Systems

Abstract

In the modern world, automation affects almost all possible areas of human work. Currently, machine learning and neural networks attract a lot of attention in the technical field. In this regard, systems for automatic monitoring and analysis of automated systems are widely used. Machine learning and neural networks can significantly improve the efficiency of monitoring equipment, detecting product defects, and managing various parameters. The article discusses and analyzes the use of machine learning in such automatic control and monitoring systems. Various automatic control systems, monitoring the condition of equipment, testing the electrical parameters of electronic components, and detecting product defects are considered. Possible positive and negative aspects of applying machine learning to them are analyzed.