Control System of Electric Drive of a Coal Combine with Control and Forecasting of its Technical Condition

Abstract

We propose a system of electric drive control of the coal miner, which allows to increase the reliability and safety of its operation. The problem is solved by predicting the diagnosed parameters of the power elements and preemptive control actions on the control system of the electric drive and the organization of maintenance and repair. Forecasting values of drive parameters is carried out using a neural network model, and allows to increase the mean time between failures and availability of the electric drive compared with the control system without prediction parameters.