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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Identifying Noise Levels of Individual Rail Pass by Events


    Contributors:


    Publication date :

    2018-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Identifying Noise Levels of Individual Rail Pass by Events

    Ottley, Matthew / Stoker, Alex / Dobson, Stephen et al. | British Library Conference Proceedings | 2018


    Localizing Noise Sources on a Rail Vehicle during Pass-By

    Gomes, J. / Hald, J. / Ginn, B. | Tema Archive | 2015


    Localizing Noise Sources on a Rail Vehicle during Pass-By

    Gomes, J. / Hald, J. / Ginn, B. | British Library Conference Proceedings | 2015