A5011154693- Gear and Bearing Dynamics Analysis
- Adhesion, Friction, and Surface Interactions
- Electric and Hybrid Vehicle Technologies
- Machine Fault Diagnosis Techniques
- Tribology and Lubrication Engineering
- Mechanical stress and fatigue analysis
- Vehicle emissions and performance
- Advanced Numerical Analysis Techniques
- Vehicle Dynamics and Control Systems
- Metallurgy and Material Forming
- Electric Vehicles and Infrastructure
- Control Systems in Engineering
- Metal Alloys Wear and Properties
VTT Technical Research Centre of Finland
2022-2024
Rolling bearings are a leading cause of equipment breakdowns in electrical machines, underscoring the significance predictive maintenance strategies. However, given methods require high-quality big data, which is challenging to acquire, especially for faulty cases. Simulation models offer an alternative by generating large data sets complement experimental data. involve complex contact-related phenomena, such as slipping and clearance. Therefore, realistic comparable real-world necessitates...
Electric retrofitting (e-retrofitting) is a viable option for accelerating the renewal of heavy-duty vehicle fleets to reduce related emissions. We introduce simulation-based assessment e-retrofitting strategies vehicles. Our simulation tool, an electric fleet toolbox, comprises three modules, namely driving cycles, dynamics, and profiles. The first allows creation realistic cycles based on GPS data from real routes. dynamics profiles incorporate, e.g., modelling powertrain conditions. Ten...
Rolling bearings are a leading cause of equipment breakdowns in electrical machines, underscoring the significance predictive maintenance strategies. However, given methods require high-quality big data, which is challenging to acquire, especially for faulty cases. Simulation models offer an alternative by generating large datasets complement experimental data. involve complex contact-related phenomena, such as slipping and clearance. Therefore, realistic data comparable real-world...
Rolling bearings are a leading cause of equipment breakdowns in electrical machines. Predictive maintenance can mitigate these risks, but the given methods rely on high-quality big data. Obtaining experimental data, especially from faulty cases, is challenging due to limited data access. Simulation models offer an alternative by generating large datasets that complement However, as high-speed applications involve complex contact-related phenomena, such slipping and clearance. Generating...