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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Identifying Noise Levels of Individual Rail Pass by Events
verfasst von : Matthew Ottley, Alex Stoker, Stephen Dobson, Nicholas Lynar
Erschienen in: Noise and Vibration Mitigation for Rail Transportation Systems
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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.