TEST BENCHES
You require assistance with a complicated problem or need to solve a certain research question?
TEST BENCHES
You require assistance with a complicated problem or need to solve a certain research question?
Rail: Passenger and Freight Transport
Solutions
Monitoring & Diagnosis
Methods development
Model-based and data-driven diagnostic methods
Monitoring of running gear components
Predictive Maintenance (PdM)
Digital Twin Networks
Illustration of system interactions in IT platforms
Executable tool chains
Properties, behavior and history over the lifecycle
User-specific analysis and forecasting applications
Vehicle Dynamics & Operation Analysis
Running technology know-how
Overall system understanding of vehicle and route
Modeling and parameter determination
Virtual vehicle approval
Probalistic design
Wheel-Track-Interaction
Wheel-track-interaction and traction phenomena
Profile development
Damage to wheel and rail surfaces
Track setting and optimization
Noise and vibrations
Green Digital Mobility
The Railroad Plays a Prominent Role as a Fundamental Element of Green Digital Mobility.
The research contributes to the optimization of the rail system, improves vehicle dynamics and enhances the overall passenger experience. As a result, rail capacity can be doubled and market uptake can be positively influenced, taking life cycle costs into account.
In addition to our core expertise, topics such as sensor technology and electrification, ATO, human factors research and systems for the end-to-end networking of component and process data are playing an increasingly important role.
Wheel-Rail-Interaction
Effective wheel-rail-interaction is crucial for safe and efficient railway operations. Predictive maintenance, using data analytics and sensors, allows proactive monitoring of factors like wheel wear and track conditions. This approach prevents derailments, reduces downtime, and optimizes maintenance schedules, ensuring safer and more cost-effective railway networks.
At VIRTUAL VEHICLE, we are researching simulation solutions to optimize predictive maintenance and thus predict wheel wear and deterioration of the track condition.
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Railway Digital Twin Networks
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GRITLAB – Graz Railway Intelligence Tech Lab | 2024
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Rail Systems
