Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning

1 code implementation • 26 Apr 2022 • L. A. Bull, D. Di Francesco, M. Dhada, O. Steinert, T. Lindgren, A. K. Parlikad, A. B. Duncan, M. Girolami

Utilising an interpretable hierarchical Bayesian approach and operational fleet data, domain expertise is naturally encoded (and appropriately shared) between different sub-groups, representing (i) use-type, (ii) component, or (iii) operating condition.

Asset Management Multi-Task Learning +1