Innovations in Railway Vehicle System: Design, Monitoring and Maintenance
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 720
Special Issue Editor
Special Issue Information
Dear Colleagues,
Railway vehicle systems are at the heart of modern transportation, playing a critical role in ensuring efficiency, safety, and sustainability in passenger and freight services. With the continuous pursuit of higher speeds, improved energy efficiency, and enhanced operational reliability, the design, monitoring, and maintenance of railway systems have become increasingly important. Innovations in these areas are essential to address the challenges of dynamic behavior, structural integrity, and lifecycle management of rail vehicles. This Special Issue aims to present cutting-edge research that advances the science and engineering of railway vehicle systems, focusing on novel design approaches, advanced monitoring techniques, and intelligent maintenance strategies.
This Special Issue invites high-quality research contributions that explore new developments and practical applications in the field. We welcome original studies and comprehensive reviews that introduce innovative ideas, methodologies, and experimental validations to enhance the performance, safety, and durability of railway systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following topics:
- Advanced design of bogies and suspension systems;
- Condition monitoring and fault diagnosis of railway subsystems;
- Vehicle–track interaction dynamics and wear prediction;
- Structural health monitoring and prognostics for rail vehicles;
- Intelligent maintenance systems and digital twins;
- Energy-efficient and environmentally friendly vehicle designs;
- Digital Twin Technology for Railway Vehicle Systems;
- Noise and vibration control in railway vehicles;
- Applications of AI and machine learning in railway vehicle health management;
- Sensor technologies and data-driven evaluation methods.
Dr. Qunsheng Wang
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
- railway vehicle dynamics
- wheel-rail interaction
- pantograph-catenary system
- structural health monitoring (SHM)
- condition monitoring and fault diagnosis
- predictive maintenance
- digital twin
- traction system monitoring
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