Bull, L., Rogers, T., Dervilis, N. orcid.org/0000-0002-5712-7323 et al. (2 more authors) (2019) A Gaussian process form for population-based structural health monitoring. In: Wahab, M.A., (ed.) Proceedings of the 13th International Conference on Damage Assessment of Structures. 13th International Conference on Damage Assessment of Structures (DAMAS 2019), 09-10 Jul 2019, Porto, Portugal.
Abstract
A framework for population-based structural health monitoring is proposed; this involves the use of a model, referred to as the form, to represent a population of dynamical systems. In this article, a Gaussian process regression is used to define the population-form, which is used to aid novelty detection across a (simulated) population of nominally-identical systems.
Metadata
| Item Type: | Proceedings Paper | 
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| Authors/Creators: | 
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| Editors: | 
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| Copyright, Publisher and Additional Information: | © 2019.  | 
        
| Keywords: | population-based SHM; damage detection; population form; Guassian processes | 
| Dates: | 
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| Institution: | The University of Sheffield | 
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) | 
| Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/R004900/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/R003645/1  | 
        
| Depositing User: | Symplectic Sheffield | 
| Date Deposited: | 04 Jul 2019 15:22 | 
| Last Modified: | 20 Dec 2024 14:55 | 
| Status: | Published | 
| Refereed: | Yes | 
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148168 | 

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