Platform health management for aircraft maintenance – a review

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dc.contributor.authorKwakye, Andrews Darfour
dc.contributor.authorJennions, Ian K.
dc.contributor.authorEzhilarasu, Cordelia Mattuvarkuzhali
dc.date.accessioned2024-02-12T12:26:24Z
dc.date.available2024-02-12T12:26:24Z
dc.date.issued2024-01-13
dc.description.abstractAircraft health management has been researched at both component and system levels. In instances of certain aircraft faults, like the Boeing 777 fuel icing problem, there is evidence suggesting that a platform approach using an Integrated Vehicle Health Management (IVHM) system could have helped detect faults and their interaction effects earlier, before they became catastrophic. This paper reviews aircraft health management from the aircraft maintenance point of view. It emphasizes the potential of a platform solution to diagnose faults, and their interaction effects, at an early stage. The paper conducts a thorough analysis of existing literature concerning maintenance and its evolution, delves into the application of Artificial Intelligence (AI) techniques in maintenance, explains the rationale behind their employment, and illustrates how AI implementation can enhance fault detection using platform sensor data. Further, it discusses how computational severity and criticality indexes (health indexes) can potentially be complementary to the use of AI for the provision of maintenance information on aircraft components, for assisting operational decisions.en_UK
dc.identifier.citationKwakye AD, Jennions IK, Ezhilarasu CM. (2024) Platform health management for aircraft maintenance–a review. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Volume 238, Issue 3, March 2024, pp. 267-283en_UK
dc.identifier.eissn2041-3025
dc.identifier.issn0954-4100
dc.identifier.urihttps://doi.org/10.1177/09544100231219736
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20778
dc.language.isoenen_UK
dc.publisherSageen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectArtificial intelligenceen_UK
dc.subjectmaintenance repair and overhaulen_UK
dc.subjectintegrated vehicle health managementen_UK
dc.subjectplatform health managementen_UK
dc.subjectaircraft health managementen_UK
dc.subjectmaintenanceen_UK
dc.titlePlatform health management for aircraft maintenance – a reviewen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2023-11-24

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