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System for monitoring operation and forecasting the technical condition of locomotives

System for monitoring operation and forecasting the technical condition of locomotives

Projects

A group of companies with assets providing:

Problem

High costs of eliminating failure consequences
Excessive planned maintenance and repair downtime due to the defect identification in the process of locomotive maintenance
Manual analysis of MCS data
Long-term diagnostics (over 4 hours)
Lack of a single telemetry data storage

Tasks

Implementation of a system to monitor the locomotive operation and forecast the locomotive technical condition

Improved reliability and technical availability of the locomotive fleet

Centralized collection, storage and analysis of diagnostic information

Diagnostic results transfer to the client's accounting system

Features of the project

Wide geography of locomotives location throughout Russia
Need for a deep dive into the data structure and quality due to many equipment types
Lack of historical data on past failures
Need for a deep dive in the customer's processes

Solution

The solution implements

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

The system has no rival on the market and was tailored for the customer's needs

Learn more about Smart Maintenance solution

Learn more about the solution

How the solution works

The system is integrated with 59 depots serving more than 8.5 thousand locomotive sections
It analyzes the operation of 23 types of equipment with account of more than 500 parameters
It automatically controls the implementation of the equipment manual

Users

Diagnostic engineers at the customer's depot

Smart Maintenance

Information technology department

Engineering center

Operations directorate

Development directorate

Business effect

Reducing the locomotive maintenance downtime by 12%
Increasing the equipment reliability
Reducing the costs of eliminating the failure consequences
Reducing diagnostic time by 154,000 man-hours
Increasing the number of detected incidents related to equipment operation 2-4 times
Reducing the locomotive diagnostic time 4 times (from 4 to 1 hour)