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V.4(64), 2025
126-134The quality of the transportation process largely depends on the locomotives reliable operation. Therefore, in modern railway transport automated control systems (ACS), it is necessary to establish subsystems for managing the traction rolling stock reliability. Information for reliability management appears and is used by various automated control systems, the interaction between which is provided by an interoperable connection. As a result, a cyber-physical production system (CPPS) is being created based on the fourth industrial revolution «Industry 4.0» principles. The influence of the locomotives technical condition on the quality of the transportation process is determined in the automated Control System "Schedule of completed movement" (GID). Failures recorded on the schedule thread are sent to the reliability management system of Russian Railways KASANT hardware, from where they are transmitted to the service company incident and failure management system. Similarly, the service company receives information about the locomotives operation (mileage) and diagnostic data from on-board locomotives microprocessor systems. Based on these data, as well as data from depot automated technical diagnostics systems, the volume is determined and maintenance and repair (MRO) is carried out - scheduled preventive and unplanned restoration. Work is being assigned, materials are being discharged from the warehouse, and resources are being planned for subsequent MRO. MRO data is used during the initial investigation of the causes of failures, the party responsible for the failure is determined, and the data is transmitted to KASANT in the form of an electronic protocol for analyzing failures. Information about the failure stream is the initial source for eliminating the root causes of system failures after a secondary investigation and determining the root cause. The model implements the principle of continuous improvement (PDCA cycle). Additionally, the control system requires the encapsulation of mathematical control methods.
