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Intelligent diagnostics and forecast of the technical condition of electric trains

Intelligent diagnostics and forecast of the technical condition of electric trains

Projects

The largest suburban passenger rail carrier in Russia

Problem

High risk of the electric train non-availability on the route due to the necessity to eliminate the equipment failure consequences
Detection of hidden defects in the process of maintenance and repair
Operating mode violations by locomotive crews leading to equipment damage

Tasks

Creating a system for electric trains intelligent diagnostics and technical condition forecast

Solution

The solution implements

Collects, processes and stores telemetry data from equipment sensors
Ensures the engineering and mathematical model operation for units and assemblies
Assesses and forecasts the equipment "health index"

Solution implementation SmartMaintenance allowed:

Controlling the electric train correct operation

Tracking the electric train technical condition even before delivering it to a repair position

Receiving detailed information about incidents with key components of each car during operation

Creating the "alarming rules" by fixing smallest deviations in the equipment operation for the timely prevention of equipment failure

Predicting the equipment residual life using heatmaps and visualized 2D car models

Users

Technical Directorate

SmartMaintenance

Situation Center staff

Business effect

Reducing the number of failures due to the constant monitoring of the rolling stock technical condition and prompt remedial actions
Saving material resources by identifying bottlenecks in the repair process and planning ahead