Neural network model of the regulator of the control system of the contactless motor of the electric point machines

Abstract

During the operation of electric point machines, damage occurs for various reasons, which can lead to emergency situations on the railway. The largest percentage of failures is associated with malfunctions in the electric motor. Technical diagnostics, as a rule, is performed on the basis of the analysis of the readings of control and measuring devices during periodic visits and the results of tests during scheduled and unscheduled repairs of electrical equipment, in particular electric motors.