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
Jiang, J.: Wayside Noise and Vibration Monitoring System Installation and Technical Manual Version 1.0, Transport for NSW (2015)
Sydney Trains. Our Fleet. http://www.sydneytrains.info/about/fleet/ (2016). Accessed 1 June 2016
Nelson, P.M. et al: Transportation Noise Reference Book. Butterworths (1987)
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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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Online ISBN: 978-3-319-73411-8
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