Data fusion strategy for precise vehicle location for intelligent self-aware maintenance systems

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dc.contributor.author Bevilacqua, Maurizio
dc.contributor.author Tsourdos, Antonios
dc.contributor.author Starr, Andrew G.
dc.contributor.author Durazo-Cardenas, Isidro Sergio
dc.date.accessioned 2016-10-05T14:07:47Z
dc.date.available 2016-10-05T14:07:47Z
dc.date.issued 2015
dc.identifier.citation Bevilacqua M et al. Data fusion strategy for precise vehicle location for intelligent self-aware maintenance systems, Proceedings of the 2015 6th International Conference on Intelligent Systems, Modelling and Simulation. 9 - 12 February 2015, Kuala Lumpur, Malaysia. en_UK
dc.identifier.isbn 1-4799-8257-1
dc.identifier.issn 2166-0670
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/10669
dc.description.abstract Abstract— Nowadays careful measurement applications are handed over to Wired and Wireless Sensor Network. Taking the scenario of train location as an example, this would lead to an increase in uncertainty about position related to sensors with long acquisition times like Balises, RFID and Transponders along the track. We take into account the data without any synchronization protocols, for increase the accuracy and reduce the uncertainty after the data fusion algorithms. The case studies, we have analysed, derived from the needs of the project partners: train localization, head of an auger in the drilling sector localization and the location of containers of radioactive material waste in a reprocessing nuclear plant. They have the necessity to plan the maintenance operations of their infrastructure basing through architecture that taking input from the sensors, which are localization and diagnosis, maps and cost, to optimize the cost effectiveness and reduce the time of operation. en_UK
dc.language.iso en en_UK
dc.publisher Institute of Electrical and Electronics Engineers en_UK
dc.rights ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
dc.subject data en_UK
dc.subject fusion en_UK
dc.subject strathegy en_UK
dc.subject rail en_UK
dc.subject network en_UK
dc.subject maintenance en_UK
dc.subject location en_UK
dc.subject uncertainty en_UK
dc.title Data fusion strategy for precise vehicle location for intelligent self-aware maintenance systems en_UK
dc.type Conference paper en_UK


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