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Zurich University
of Applied Sciences

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Intelligent Solutions for Rail Wheel & Track Monitoring with Onboard IoT Sensors

Description

We develop a new system for condition-based maintenance of train bogies and railway tracks, using existing operational data together with cost-efficient IoT sensors installed onboard in-service trains. By continuously monitoring the condition of both vehicles and infrastructure, the system enables earlier detection of emerging faults and supports more informed maintenance decisions.

This approach will lower maintenance costs, prolong equipment lifetimes, reduce unplanned downtime, and enhance the safety and reliability of railway operations.

Key data

Project partners

Stadler Service AG

Project status

Start imminent, 09/2026

Institute/Centre

Institute for Data Science (IDS); Institute of Mechanical Systems (IMES)

Funding partner

Innosuisse Innovationsprojekt