Dynamic Analysis and Condition Monitoring of High-Speed Trains
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 23
Special Issue Editor
Special Issue Information
Dear Colleagues,
As high-speed rail networks expand globally, ensuring their safety has become a major research focus. The performance of these systems depends heavily on vehicle–track interaction dynamics and the health of key components. Advanced methodologies such as railway vehicle dynamics modeling enable precise simulation of operational behaviors under complex conditions, while fault diagnosis and prognosis techniques monitor system states and assess operational risks. Based on this analysis, maintenance engineers implement strategies to prevent accidents. Achieving this requires collecting multi-source sensor data and conducting integrated analysis. Key approaches include dynamics modeling, measurement and data collection, condition monitoring, fault diagnosis, health assessment, prognosis, and big data-driven multimodal prognostics and health management models of railway vehicles.
This Special Issue aims to compile cutting-edge research and applications in dynamics-based performance analysis, fault diagnosis, and prognosis for railway systems, encompassing both track infrastructure and critical vehicle components. We seek solutions to challenges affecting railway safety, including AI-enhanced predictive maintenance and intelligent decision-making frameworks. Potential topics include, but are not limited to, the following:
- Railway vehicle system dynamics modeling and simulation;
- Data cleaning and data quality improvement;
- Condition monitoring and health assessment;
- Signal processing and fault feature extraction;
- Fault detection and quantitative analysis;
- Data-driven intelligent fault diagnosis and prognosis;
- Vibration analysis of components in railway vehicle system;
- Big models for general prognostics and health management of railway vehicles.
Dr. Yaoxiang Yu
Guest Editor
Manuscript Submission Information
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Keywords
- dynamics modelling
- intelligent fault diagnosis
- vibration analysis
- condition monitoring
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