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Found 8 papers, 0 papers with code
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
We formulate a combined model from simple units, representing strain envelopes (of each train passing) for two types of commuter train.
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
At present, most surface-quality prediction methods can only perform single-task prediction which results in under-utilised datasets, repetitive work and increased experimental costs.
Encoding Domain Expertise into Multilevel Models for Source Location
Most interestingly, domain expertise and knowledge of the underlying physics can be encoded in the model at the system, subgroup, or population level.
Mitigating sampling bias in risk-based active learning via an EM algorithm
For SHM applications, the value of information is evaluated with respect to a maintenance decision process, and the data-label querying corresponds to the inspection of a structure to determine its health state.
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes
In this paper, an overlapping mixture of Gaussian processes (OMGP), was used to generate labels and quantify the uncertainty of normal-condition frequency response data from the helicopter blades.
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
For risk-based active learning in SHM, the value of information is evaluated with respect to a maintenance decision process, and the data-label querying corresponds to the inspection of a structure to determine its health state.
On robust risk-based active-learning algorithms for enhanced decision support
In contrast, the discriminative classifiers are shown to have excellent robustness to the effects of sampling bias.
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
In data-driven SHM, the signals recorded from systems in operation can be noisy and incomplete.
