Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation

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dc.contributor.authorAddepalli, Sri
dc.contributor.authorNamoano, Bernadin
dc.contributor.authorOyedeji, Oluseyi Ayodeji
dc.contributor.authorFarsi, Maryam
dc.contributor.authorErkoyuncu, John Ahmet
dc.date.accessioned2023-10-09T09:59:25Z
dc.date.available2023-10-09T09:59:25Z
dc.date.issued2023-07-08
dc.description.abstractDigital data management and enterprise systems have become key to support the digitalisation of maintenance activities. With traditional maintenance activities still striving for efficiencies, platforms such as the natural language processing (NLP) are supporting industries to mine textural data, not just extracting degradation terminologies but providing the maintainer with holistic insights on the degradation process. Traditionally, the degradation analysis, the first step in maintenance, is a manual process for defect characterisation, followed by failure investigation and a remaining useful life estimation. To enable digitalisation, transfer of human cognitive decision making from the physical world to the digital world is key. This paper enables this cognitive knowledge transfer through the design of a common degradation taxonomy and extracting terminology relationships to produce degradation causality with an NLP knowledge extraction approach. Further, this paper proposes and demonstrates a framework to present the data in the form of a knowledge graph populated using an application-level ontology. Use cases in the aerospace context have been used to show the power of the NLP and conceptual journey into the digitalisation of maintenance.en_UK
dc.identifier.citationAddepalli S, Namoano B, Oyedeji OA, et al., (2023) Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation. Procedia CIRP, Volume 119, pp. 508-513. 33rd CIRP Design Conference, 17-19 June 2023, Sydney, Australiaen_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2023.04.008
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20345
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectknowledge managementen_UK
dc.subjectdecision makingen_UK
dc.subjectdegradation analysisen_UK
dc.titleDesigning a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisationen_UK
dc.typeConference paperen_UK

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