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dc.contributor.advisorCampean, I. Felician
dc.contributor.advisorPriest, Martin
dc.contributor.authorDoikin, Aleksandr
dc.date.accessioned2022-08-03T13:06:23Z
dc.date.available2022-08-03T13:06:23Z
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/10454/19089
dc.language.isoenen_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectIntegrated Vehicle Health Management (IVHM)en_US
dc.subjectAutomotive IVHMen_US
dc.subjectIntelligent powertrain health managementen_US
dc.subjectAutomotiveen_US
dc.subjectPowertrainen_US
dc.subjectDiagnosticsen_US
dc.subjectPrognosticsen_US
dc.subjectMaintenanceen_US
dc.titleAutomotive IVHM: a framework for intelligent health management of powertrain systems. Development of a framework and methodology based on the fusion of knowledge-based and data-driven modelling approaches for diagnostics and prognostics of complex systems with application to automotive powertrain systemsen_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentFaculty of Engineering and Informaticsen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.EndofEmbargo2026-29-07
dc.date.awarded2020
dc.description.publicnotesThe full text will be available at the the end of the embargo period: 29th Jul 2026en


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