Dr Brandon J. O'Connell

A new perspective on Bayesian operational modal analysis, B.J. O’Connell, M.D. Champneys, T.J. Rogers, 2025, MSSP.

A robust probabilistictic approach to stochastic subspace identification, B.J. O’Connell, T.J. Rogers, 2024, Journal of Sound and Vibr.

Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models..., J. H. Mclean, M. R. Jones, B. J. O’Connell, A. E. Maguire and T. J. Rogers, Structural Health Monitoring (SHM)

A novel variational Bayesian approach to stochastic subspace identification - B. J. O'Connell, M. D. Champneys, E. J. Cross and T. J. Rogers

Bayesian canonical correlations for stochastic subspace identification, B. J. O’Connell, U. T. Tygesen and T. J. Rogers, ISMA-USD 2022

Robust probabilistic canonical correlations for stochastic subspace identification, B. J. O’Connell, E. J. Cross and T. J. Rogers, 9th-IOMAC 2022 (Awarded Best Paper 2022)

A Fresh Perspective on Bayesian Operational Modal Analysis: A Novel Bayesian approach to SSI - Engineering Researcher Symposium 2023

Probabilistic, robust and Bayesian approaches to stochastic subspace identification (SSI) - Poster June 2022

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ORCiD

Dynamics Research Group (DRG)

Laboratory for Verification & Validation (LVV)