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Identifying Noise Levels of Individual Rail Pass by Events

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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 139))

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Abstract

Technology associated with acoustic data capture has advanced significantly, with commercially available Sound Level Meters allowing engineers and consultants to capture large amounts of multi-channel data relating to train noise. Whilst this extended dataset can provide vital information, manually scrutinizing large amounts of data to isolate individual train pass-bys can be time consuming and problematic. This paper investigates the implementation of automated, remote (un-manned) systems that can be installed on-site, allowing train pass-by noise levels to be recorded with minimal user guidance. The efficacy of acoustic and ground vibration sensors to accurately identify train noise levels and train direction is investigated.

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References

  1. Jiang, J.: Wayside Noise and Vibration Monitoring System Installation and Technical Manual Version 1.0, Transport for NSW (2015)

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Correspondence to Matthew Ottley .

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© 2018 Springer International Publishing AG, part of Springer Nature

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Ottley, M., Stoker, A., Dobson, S., Lynar, N. (2018). Identifying Noise Levels of Individual Rail Pass by Events. In: Anderson, D., et al. Noise and Vibration Mitigation for Rail Transportation Systems. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 139. Springer, Cham. https://doi.org/10.1007/978-3-319-73411-8_14

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  • DOI: https://doi.org/10.1007/978-3-319-73411-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73410-1

  • Online ISBN: 978-3-319-73411-8

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