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dc.contributor.authorFidler, Paulen
dc.contributor.authorHartley, Sen
dc.contributor.authorTalbot, James P.en
dc.description.abstractDisturbance to building occupants caused by tram-generated ground-borne noise and vibration presents a significant barrier to the expansion of tram networks in our cities. Furthermore, such disturbance is often an indicator of deteriorating track infrastructure. Monitoring and understanding ground-borne noise and vibration is therefore a key priority for tram operators. Project VIMTO (Vibration and Impact Monitoring of Tram Operations) is concerned with developing a new system for monitoring vibration and impact of trams, whereby the vehicles themselves are used as the primary monitoring instrument. Low-cost vehicle-mounted instrumentation is being used to record axle-box vibration signatures, along with positioning data, to ‘map’ a tram network in terms of its propensity to generate vibration. Such mapping aims to offer near real-time continuous monitoring, enabling the formulation of more efficient, optimised maintenance strategies. This paper describes the current development system and presents some initial results from trials on the Midland Metro, UK.
dc.description.sponsorshipThis work was funded by the EPSRC Impact Acceleration Account (Grant No. EP/K503757/1) and by the Cambridge Centre for Smart Infrastructure and Construction (EP/I019308/1).
dc.rightsAttribution 4.0 International
dc.titleProject VIMTO: A new system for the vibration and impact monitoring of tram operationsen
dc.typeConference Object
prism.publicationNameSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedingsen
dc.contributor.orcidFidler, Paul [0000-0003-4594-4323]
dc.contributor.orcidTalbot, James P. [0000-0002-0036-9727]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idEPSRC (EP/I019308/1)
pubs.funder-project-idEPSRC (EP/K503757/1)

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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International