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Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
March 27, 2024, 4:45 a.m. | Lawrence A. Bull, Chiho Jeon, Mark Girolami, Andrew Duncan, Jennifer Schooling, Miguel Bravo Haro
stat.ML updates on arXiv.org arxiv.org
Abstract: We suggest a multilevel model, to represent aggregate train-passing events from the Staffordshire bridge monitoring system. We formulate a combined model from simple units, representing strain envelopes (of each train passing) for two types of commuter train. The measurements are treated as a longitudinal dataset and represented with a (low-rank approximation) hierarchical Gaussian process. For each unit in the combined model, we encode domain expertise as boundary condition constraints and work towards a general representation …
abstract arxiv bridge events modelling monitoring simple stat.ap stat.ml train type types units
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