Bull, L., Rogers, T., Dervilis, N. orcid.org/0000-0002-5712-7323 et al. (2 more authors) (Accepted: 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. Springer . ISBN 978-981-13-8330-4 (In Press)
Abstract
A framework for population-based structural health moni- toring is proposed; this involves the use of a model, referred to as t he form , to represent a population of dynamical systems. In this articl e, a Gaussian process regression is used to define the population-fo rm, which is used to aid novelty detection across a (simulated) po pulation of nominally-identical systems.
Metadata
Authors/Creators: |
|
||||||
---|---|---|---|---|---|---|---|
Copyright, Publisher and Additional Information: | © 2019 Springer. | ||||||
Keywords: | population-based SHM; damage detection; population form; Guassian processes | ||||||
Dates: |
|
||||||
Institution: | The University of Sheffield | ||||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) | ||||||
Funding Information: |
|
||||||
Depositing User: | Symplectic Sheffield | ||||||
Date Deposited: | 04 Jul 2019 15:22 | ||||||
Last Modified: | 19 Dec 2022 12:55 | ||||||
Published Version: | https://www.springer.com/gp/book/9789811383304 | ||||||
Status: | In Press | ||||||
Publisher: | Springer | ||||||
Refereed: | Yes |
Download
Filename: form_paper_ND.pdf