Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20124| Title: | An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoring |
| Authors: | Amini, A Kanfound, J Gan, T-H |
| Keywords: | artificial intelligence;machine learning;digital twin;big data;condition monitoring |
| Issue Date: | 26-Oct-2019 |
| Publisher: | Association for Computing Machinery |
| Citation: | Amini, 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/20124 |
| DOI: | https://doi.org/10.1145/3369114.3369141 |
| ISBN: | 9781450372534 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed indefinitely | 565.11 kB | Adobe PDF | View/Open |
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