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: 30 September 2026 | Viewed by 2536
Special Issue Editor
Interests: dynamic analysis; condition monitoring; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- dynamics modelling
- intelligent fault diagnosis
- vibration analysis
- condition monitoring
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