A comparison of linear approaches to filter out environmental effects in structural health monitoring von Deraemaeker, A., Worden, K.

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On the application of domain adaptation in structural health monitoring von Gardner, P., Liu, X., Worden, K.

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On Population-based structural health monitoring for bridges von Gosliga, J., Hester, D., Worden, K., Bunce, A.

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Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer von Gardner, P., Bull, L.A., Gosliga, J., Dervilis, N., Worden, K.

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Long-term monitoring and data analysis of the Tamar Bridge von Cross, E.J., Koo, K.Y., Brownjohn, J.M.W., Worden, K.

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On switching response surface models, with applications to the structural health monitoring of bridges von Worden, K., Cross, E.J.

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Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty von Green, P. L., Worden, K.

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Active learning for semi-supervised structural health monitoring von Bull, L., Worden, K., Manson, G., Dervilis, N.

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Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications von Wagg, D. J, Worden, K, Barthorpe, R. J, Gardner, P

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On robust regression analysis as a means of exploring environmental and operational conditions for SHM data von Dervilis, N., Worden, K., Cross, E.J.

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Towards semi-supervised and probabilistic classification in structural health monitoring von Bull, L.A., Worden, K., Dervilis, N.

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On the application of kernelised Bayesian transfer learning to population-based structural health monitoring von Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

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On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification von Rogers, T.J., Worden, K., Cross, E.J.

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Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities von Gosliga, J., Gardner, P.A., Bull, L.A., Dervilis, N., Worden, K.

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A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network von Sbarufatti, C., Manson, G., Worden, K.

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Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint von Fuentes, R., Nayek, R., Gardner, P., Dervilis, N., Rogers, T., Worden, K., Cross, E.J.

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A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings von Gardner, P., Bull, L.A., Gosliga, J., Poole, J., Dervilis, N., Worden, K.

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A Bayesian methodology for localising acoustic emission sources in complex structures von Jones, M.R., Rogers, T.J., Worden, K., Cross, E.J.

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A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions von Antoniadou, I., Manson, G., Staszewski, W.J., Barszcz, T., Worden, K.

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Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning von Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

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