The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities

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dc.contributor.authorEzhilarasu, Cordelia Mattuvarkuzhali
dc.contributor.authorSkaf, Zakwan
dc.contributor.authorJennions, Ian K.
dc.date.accessioned2019-02-01T10:37:33Z
dc.date.available2019-02-01T10:37:33Z
dc.date.issued2019-01-11
dc.description.abstractThis paper aims to discuss the importance and the necessity of reasoning applications in the field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM system is required to optimize Condition Based Maintenance (CBM), avoid unplanned maintenance activities and reduce the costs inflicted thereupon. This IVHM system should be able to utilize the information from multiple subsystems of the vehicle to assess the health of those subsystems, their effect on the other subsystems, and on the vehicle as a whole. Such a system can only be realized when the supporting technologies like sensor technology, control and systems engineering, communications technology and Artificial Intelligence (AI) are equally advanced. This paper focuses on the field of AI, especially reasoning technology and explores how it has helped the growth of IVHM in the past. The paper reviews various reasoning strategies, different reasoning systems, their architectures, components and finally their numerous applications. The paper discusses the shortcomings found in the IVHM field, particularly in the area of vehicle level health monitoring and how reasoning can be applied to address some of them. It also highlights the challenges faced when the reasoning system is developed to monitor the health at the vehicle level and how a few of these challenges can be mitigated.en_UK
dc.identifier.citationCordelia Mattuvarkuzhali Ezhilarasu, Zakwan Skaf and Ian K. Jennions. The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities. Progress in Aerospace Sciences, Volume 105, February 2019, Pages 60-73en_UK
dc.identifier.cris22540901
dc.identifier.issn0376-0421
dc.identifier.urihttps://doi.org/10.1016/j.paerosci.2019.01.001
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13874
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIVHMen_UK
dc.subjectAerospaceen_UK
dc.subjectCondition based maintenanceen_UK
dc.subjectArtificial intelligenceen_UK
dc.subjectReasoning system architectureen_UK
dc.subjectVehicle Level Health Monitoringen_UK
dc.titleThe application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunitiesen_UK
dc.typeArticleen_UK

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