Effective Monitoring of Rail Wear: Solution Overview

December 18, 2024
Effective rail wear monitoring

Centric IT Solutions Lithuania addressed a critical issue in the Netherlands’ busy rail network: monitoring rail wear. With high train traffic causing rapid rail deterioration, current methods relying on ultrasonic sensors and cameras proved ineffective, missing small defects and relying on manual review. A more accurate, efficient solution was necessary to prevent costly, traffic-halting failures.

The solution involved mounting Axle Box Accelerometer sensors on train wheels to capture vibrations and accelerations, allowing for precise detection of defects as small as 4 mm. Data collected from these sensors is then visualized in real-time through ArcGIS, helping engineers quickly assess rail conditions without the need for manual video analysis. This innovative system reduces human error and leads to significant cost savings and more reliable rail maintenance.

Download the complete case study to explore how we helped transform rail maintenance with innovative, scalable technology.

Picture of Laimonas Andriulis
Laimonas Andriulis

Data Analytics & AI Manager

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