Article Title

Predictive repair of the traction rolling stock based on onboard microprocessor control systems

Article reference
Mikheyev V. A. , Tomilova O. S. , Borodin A. V. Predictive repair of the traction rolling stock based on onboard microprocessor control systems Izvestiia Transsiba – The Trans-Siberian Bulletin, 2019, no. 2(38), pp. 8 – 16.

Abstract

A modern solution to the problem of improving the efficiency of the traction rolling stock maintenance and repair processes based on the use of new information technologies is the transition to a locomotives predictive repair promising system. The key element of the predictive repair system in the issue of operational assessment and management of the locomotives technical condition are onboard microprocessor control systems with built-in diagnostic, monitoring and monitoring subsystems. The onboard microprocessor control systems have the ability to carry out continuous or discrete measurement, registration, transmission and accumulation the values of large package analog and discrete locomotive equipment parameters. The functionality of the onboard microprocessor control systems based on information technologies makes them an exceptionally effective means of efficiently organizing maintenance and repair impacts on the locomotive park in order to ensure specified operational reliability and performance indicators.