MODERN VIBRODIAGNOSTIC DEVICES USED IN RAILWAY SYSTEMS
Keywords:
Railway monitoring; Vibrodiagnostics; Condition monitoring; Accelerometers; Predictive maintenance; Signal processing; Sensors.Abstract
This paper reviews modern vibrodiagnostic devices and methodologies deployed in railway infrastructure and rolling stock condition monitoring. With the evolution of sensor technologies, signal processing techniques, and predictive maintenance paradigms, vibration analysis has become an indispensable tool for real-time railway diagnostics. Contemporary approaches integrate accelerometers, inertial measurement units, wireless sensor networks, and advanced signal processing to improve safety, maintenance efficiency and lifecycle performance of tracks and vehicles. This review summarizes current technologies, methodologies, and results from recent research, followed by a discussion on challenges and future perspectives.
References
Popa G., Oprea R.A., Tudor E., Gheti M.A., Munteanu I.S. Vibration Measurement and Monitoring in Railway Vehicles. Technologies. 2025;13:370. (overview of vibration monitoring and measurement techniques) [1].
Łomżyńska A., Strugarek K., Nowak M. Identification of Railway Track Damage Using Vibration Signal Characteristics. Rail Vehicles/Pojazdy Szynowe. 2024;3-4:64-72. (vibration signals for track condition assessment) [2].
Celiński I. Research on the Applicability of Vibration Signals for Real-Time Train and Track Control. Sensors. 2022;22(6):2368. (vibration signals for operational control) [3].
Licow R. Application of Vibration Signals in Railway Track Diagnostics Using a Mobile Railway Platform. Archives of Transport. 2024;71(3):127-145. (mobile vibrodiagnostics) [4].
Bravo I. On-board Accelerometers in Railway Track Condition Monitoring. Transportation Research Part. 2025: article review. (vehicle-mounted accelerometers) [6].
Chia L., Bhardwaj B., Lu P., Bridgelall R. Railroad Track Condition Monitoring Using Inertial Sensors. Transportation Research. 2018; MPC-505. (inertial sensing for track monitoring) [5].
Baron P. Vibrodiagnostics as a Predictive Maintenance Tool in the Transportation Sector. Journal of Vibration Engineering & Technologies. 2022; (vibrodiagnostic measurements for predictive maintenance) [9].
Dai B. et al. Acceleration-guided Acoustic Signal Denoising for Slab Track Monitoring. ArXiv Preprint. 2022. (signal processing methods) [turn0academia20].
Nkundineza C.N. et al. Onboard Measurement Systems for Wheel Flange Wear. ArXiv Preprint. 2025. (advanced onboard diagnostic systems) [turn0academia21].
Larese D.C. et al. Transformer Vibration Forecasting for Maintenance 4.0. ArXiv Preprint. 2025. (predictive models for vibration forecasting) [turn0academia22].
Galdo A.L. et al. Detecting Train Driveshaft Damages Using CNN on Vibration Signals. ArXiv Preprint. 2022. (AI for vibration-based fault detection) [turn0academia23].
Bondar I.S., Karibaeva G.B., Kurbenova A.K. Vibration Diagnostics of Transportation Structures on Railroads. Vibroengineering Procedia. 2024;54:110-115. (vibrodiagnostics for bridge spans) [11].
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