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Monitoring Rail Condition Based on Sound and Vibration Sensors Installed on an Operational Train

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Noise and Vibration Mitigation for Rail Transportation Systems

Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design ((NNFM,volume 126))

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Abstract

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.

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References

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Correspondence to T. Jensen .

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© 2015 Springer-Verlag Berlin Heidelberg

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Jensen, T., Chauhan, S., Haddad, K., Song, W., Junge, S. (2015). Monitoring Rail Condition Based on Sound and Vibration Sensors Installed on an Operational Train. In: Nielsen, J., et al. Noise and Vibration Mitigation for Rail Transportation Systems. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44832-8_27

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  • DOI: https://doi.org/10.1007/978-3-662-44832-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44831-1

  • Online ISBN: 978-3-662-44832-8

  • eBook Packages: EngineeringEngineering (R0)

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