Items where authors include "Pitchforth, D.J."

Article

Cross, E.J. orcid.org/0000-0001-5204-1910, Rogers, T.J. orcid.org/0000-0002-3433-3247, Pitchforth, D.J. et al. (3 more authors) (2024) A spectrum of physics-informed Gaussian processes for regression in engineering. Data-Centric Engineering, 5 (11). e8. ISSN 2632-6736

Pitchforth, D.J., Rogers, T.J. orcid.org/0000-0002-3433-3247, Tygesen, U.T. et al. (1 more author) (2021) Grey-box models for wave loading prediction. Mechanical Systems and Signal Processing, 159. 107741. ISSN 0888-3270

Book Section

Cross, E.J., Gibson, S.J., Jones, M.R. et al. (3 more authors) (2022) Physics-informed machine learning for structural health monitoring. In: Cury, A., Ribeiro, D., Ubertini, F. and Todd, M.D., (eds.) Structural Health Monitoring Based on Data Science Techniques. Structural Integrity (21). Springer Cham , pp. 347-367. ISBN 9783030817152

Proceedings Paper

Jones, M.R., Pitchforth, D.J. and Cross, E.J. (2024) Gaussian process kernels for partial physical insight. In: Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024). 10th European Workshop on Structural Health Monitoring (EWSHM 2024), 10-13 Jun 2024, Potsdam, Germany. e-Journal of Nondestructive Testing, 29 (7). NDT.net GmbH & Co. KG .

Pitchforth, D.J., Jones, M.R. and Cross, E.J. (2024) Physically-informed change-point kernels for variable levels of physical knowledge inclusion in Gaussian processes. In: Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024). 11th European Workshop on Structural Health Monitoring (EWSHM 2024), 10-13 Jun 2024, Potsdam, Germany. e-Journal of Nondestructive Testing, 29 (7). NDT.net GmbH & Co. KG .

Pitchforth, D.J., Rogers, T.J. orcid.org/0000-0002-3433-3247, Tygesen, U.T. et al. (1 more author) (2022) Physically-informed kernels for wave loading prediction. In: 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-11), 08-12 Aug 2022, Montreal, Canada. International Society for Structural Health Monitoring of Intelligent Infrastructure , pp. 452-457.

Preprint

Pitchforth, D.J., Jones, M.R., Gibson, S.J. et al. (1 more author) (2025) Physically-informed change-point kernels for structural dynamics. [Preprint] (Submitted)