Ontology-based context modeling in physical asset integrity management

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dc.contributor.authorAl-Shdifat, Ali
dc.contributor.authorEmmanouilidis, Christos
dc.contributor.authorKhan, Muhammad
dc.contributor.authorStarr, Andrew G.
dc.date.accessioned2021-01-26T15:18:33Z
dc.date.available2021-01-26T15:18:33Z
dc.date.issued2020-10-30
dc.description.abstractAsset management is concerned with the management practices, technologies and tools necessary to maximize the value delivered by physical engineering assets. IoT-generated data are increasingly considered as an asset and the data asset value needs to be maximized too. However, asset-generated data in practice are often collected in non-actionable form. Collected data may comprise a wide number of parameters, over long periods of time and be of significant scale. Yet they may fail to represent the range of possible scenarios of asset operation or the causal relationships between the monitored parameters, and so the size of the data collection, while adding to the complexity of the problem, does not necessarily allow direct data asset value exploitation. One way to handle data complexity is to introduce context information modeling and management, wherein data and service delivery are determined upon resolving the apparent context of a service or data request. The aim of the present paper is, therefore, 2-fold: to analyse current approaches to addressing IoT context information management, mapping how context-aware computing addresses key challenges and supports the delivery of monitoring solutions; and to develop a maintenance context ontology focused on failure analysis of mechanical components so as to drive monitoring services adaptation. The approach is demonstrated by applying the ontology on an industrially relevant physical gearbox test rig, designed to model complex misalignment cases met in manufacturing and aerospace applications.en_UK
dc.identifier.citationAl-Shdifat A, Emmanouilidis C, Khan M, Starr AG. (2020) Ontology-based context modeling in physical asset integrity management. Frontiers in Computer Science, Volume 2, October 2020, Article number 578673en_UK
dc.identifier.issn2624-9898
dc.identifier.urihttps://doi.org/10.3389/fcomp.2020.578673
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16252
dc.language.isoenen_UK
dc.publisherFrontiers Researchen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectphysical asset managementen_UK
dc.subjectcontext sharingen_UK
dc.subjectmaintenance ontologyen_UK
dc.subjectcontext information managementen_UK
dc.subjectinternet of thingsen_UK
dc.titleOntology-based context modeling in physical asset integrity managementen_UK
dc.typeArticleen_UK

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