The paper presents a measurement setup capable of collecting wheel/rail contact noise and vibration signals from a passenger train. A data analysis method based on machine learning is developed for detecting events from the acquired data and classifying them according to relevant railway track components and noise phenomena. A classification rate higher than 84 % is achieved.
Monitoring Rail Condition Based on Sound and Vibration Sensors Installed on an Operational Train
Notes Numerical Fluid Mech.
Noise and Vibration Mitigation for Rail Transportation Systems ; Chapter : 27 ; 205-212
2015-01-01
8 pages
Article/Chapter (Book)
Electronic Resource
English
Monitoring Rail Condition Based on Sound and Vibration Sensors Installed on an Operational Train
British Library Conference Proceedings | 2015
|Condition monitoring feasibility study - C21xx rail grinding train
British Library Conference Proceedings | 2011
|Condition Monitoring for Rail Vehicles - A Freight Train Operator's Perspective
British Library Conference Proceedings | 1998
|Method for monitoring rail vibration data abnormity in train operation
European Patent Office | 2024
|