Search Results for author: Elizabeth J. Cross

Found 8 papers, 1 papers with code

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting

no code implementations9 Oct 2023 Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes

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.

regression Uncertainty Quantification

Encoding Domain Expertise into Multilevel Models for Source Location

no code implementations15 May 2023 Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew Duncan, Mark Girolami

Most interestingly, domain expertise and knowledge of the underlying physics can be encoded in the model at the system, subgroup, or population level.

Transfer Learning

Canonical-Correlation-Based Fast Feature Selection

1 code implementation15 Jun 2021 Sikai Zhang, Tingna Wang, Keith Worden, Elizabeth J. Cross

The supporting theorems developed for the feature selection method are fundamental to the understanding of the canonical correlation analysis.

feature selection

Damage detection in operational wind turbine blades using a new approach based on machine learning

no code implementations25 Jan 2021 Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

The methodology takes advantage of the fact that the blades on a turbine are nominally identical in structural properties and encounter the same environmental and operational variables (EOVs).

BIG-bench Machine Learning Gaussian Processes

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves

no code implementations5 Jan 2021 Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers

The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monitoring (SHM).

BIG-bench Machine Learning Gaussian Processes

A Bayesian methodology for localising acoustic emission sources in complex structures

no code implementations21 Dec 2020 Matthew R. Jones, Tim J. Rogers, Keith Worden, Elizabeth J. Cross

In the field of structural health monitoring (SHM), the acquisition of acoustic emissions to localise damage sources has emerged as a popular approach.

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression

no code implementations3 Dec 2020 Rajdip Nayek, Ramon Fuentes, Keith Worden, Elizabeth J. Cross

The problem of discovering governing equations is cast as that of selecting relevant variables from a predetermined dictionary of basis variables and solved via sparse Bayesian linear regression.

Model Selection Variable Selection Methodology Systems and Control Systems and Control Applications

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