USE OF MACHINE LEARNING IN THE FORECASTING OF ELECTROMECHANICAL ROLLING PRODUCTION SYSTEMS CONDITIONS
The analysis of the terms "Internet of things" and "machine learning" in relation to the engineering production activities is provided. The urgency of developing predictive analytics systems for Electromechanical systems of rolling production is proven. A method for developing systems for machine learning on the example of Electromechanical system of the rolling mill is suggested. Indirect experiments on the mathematical model provided a high accuracy of prediction of malfunctions of the system.