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

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dc.contributor.authorBevilacqua, Maurizio
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorStarr, Andrew G.
dc.contributor.authorDurazo-Cardenas, Isidro
dc.date.accessioned2016-10-05T14:07:47Z
dc.date.available2016-10-05T14:07:47Z
dc.date.issued2015
dc.description.abstractAbstract— 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.identifier.citationBevilacqua 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.isbn1-4799-8257-1
dc.identifier.issn2166-0670
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10669
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineersen_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.subjectdataen_UK
dc.subjectfusionen_UK
dc.subjectstrathegyen_UK
dc.subjectrailen_UK
dc.subjectnetworken_UK
dc.subjectmaintenanceen_UK
dc.subjectlocationen_UK
dc.subjectuncertaintyen_UK
dc.titleData fusion strategy for precise vehicle location for intelligent self-aware maintenance systemsen_UK
dc.typeConference paperen_UK

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