Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20124
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dc.contributor.authorAmini, A-
dc.contributor.authorKanfound, J-
dc.contributor.authorGan, T-H-
dc.date.accessioned2020-01-28T14:09:39Z-
dc.date.available2020-01-28T14:09:39Z-
dc.date.issued2019-10-26-
dc.identifier.citationAmini, A., Kanfound, J. and Gan, T.-H. (2019) 'An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoring', Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence (ICAAI 2019), Istanbul, Turkey, 26-28 October, pp. 162 - 165. doi: 10.1145/3369114.3369141.en_US
dc.identifier.isbn9781450372534-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/20124-
dc.format.extent162 - 165-
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.rightsCopyright © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ICAAI 2019: Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence, 21 January 2020. https://dl.acm.org/doi/10.1145/3369114.3369141.-
dc.rights.urihttps://www.acm.org/publications/openaccess#green-
dc.sourceICAAI 2019: 2019 The 3rd International Conference on Advances in Artificial Intelligence-
dc.sourceICAAI 2019: 2019 The 3rd International Conference on Advances in Artificial Intelligence-
dc.subjectartificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectdigital twinen_US
dc.subjectbig dataen_US
dc.subjectcondition monitoringen_US
dc.titleAn AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoringen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1145/3369114.3369141-
dc.relation.isPartOfProceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence-
pubs.publication-statusPublished-
dc.rights.holderAssociation for Computing Machinery-
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