A probabilistic framework for online structural health monitoring : active learning from machining data streams

Bull, L.A., Worden, K. orcid.org/0000-0002-1035-238X, Rogers, T.J. orcid.org/0000-0002-3433-3247 et al. (5 more authors) (2019) A probabilistic framework for online structural health monitoring : active learning from machining data streams. In: Journal of Physics: Conference Series. Thirteenth International Conference on Recent Advances in Structural Dynamics (RASD), 15-17 Apr 2019, Valpre, Lyon, France. IOP Publishing .

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 IOP Publishing. Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Dates:
  • Published (online): 24 July 2019
  • Published: 24 July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research Council (EPSRC)EP/R003645/1
Depositing User: Symplectic Sheffield
Date Deposited: 29 Oct 2019 12:48
Last Modified: 29 Oct 2019 13:02
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1742-6596/1264/1/012028

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