Vibration System Monitoring Real‐Time Train and Track Condition Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 1179
Special Issue Editor
Interests: vehicle dynamics; micro-mobility; dynamics of damped structures and vibration control using magneto-rheological fluid damping technology; structural dynamics and vibrations; flywheel energy storage systems; virtual prototyping and simulation of complex mechanical systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The objective of this Special Issue is to explore the latest advancements and innovative approaches in vibration system monitoring for real-time train and track condition assessment. As railway networks undergo continuous growth and modernization, maintaining safe, reliable, and efficient train operations becomes increasingly critical. Vibration monitoring systems play a crucial role in this regard, providing vital data on the dynamic interactions between trains and tracks.
This Special Issue aims to gather high-quality research papers and reviews that focus on the development, implementation, and application of vibration monitoring technologies. Topics of interest include, but are not limited to:
- Sensor Technologies: advanced vibration sensor designs and placements for real-time train and track condition monitoring.
- Signal Processing Techniques: real-time data acquisition and processing techniques for feature extraction and fault diagnosis.
- Data Analytics and Predictive Modelling: Data-driven approaches to predict track degradation, wheel wear, and other potential failure modes. This includes the use of machine learning and artificial intelligence for predictive maintenance.
- Practical Applications: Case studies and field applications highlighting the challenges and solutions in the deployment of vibration system monitoring in diverse rail environments.
- System Integration: The integration of vibration monitoring with other condition monitoring systems.
We invite contributions from researchers, engineers, and industry professionals who are at the forefront of this field, with the goal of advancing the state of the art in train and track condition monitoring. This Special Issue will serve as a comprehensive resource of the latest research and developments, fostering collaboration and innovation in the railway industry.
Dr. Fook Fah Yap
Guest Editor
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Keywords
- train and track condition monitoring
- railway industry
- system integration
- vibration monitoring
- practical applications
- data analytics
- predictive modelling
- signal processing techniques
- fault diagnosis
- machine learning
- artificial intelligence
- sensor technologies
- railway networks
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