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Automotive 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 systems

Doikin, Aleksandr
Publication Date
2020
End of Embargo
Supervisor
Campean, Felician
Priest, Martin
Keywords
Integrated Vehicle Health Management (IVHM), Automotive IVHM, Intelligent powertrain health management, Automotive, Powertrain, Diagnostics, Prognostics, Maintenance
Rights
Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Faculty of Engineering and Informatics
Awarded
2020
Embargo end date
2026-29-07
Collections
Theses
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Files
PhD Thesis
Adobe PDF, 7.22 MB
Additional title
Abstract
URI
http://hdl.handle.net/10454/19089
Version
Citation
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Link to Version of Record
Type
Thesis
Qualification name
PhD
Notes
The full text will be available at the the end of the embargo period: 29th Jul 2026