Keith Worden

Orcid: 0000-0002-1035-238X

According to our database1, Keith Worden authored at least 60 papers between 1997 and 2024.

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Bibliography

2024
On the topology and geometry of population-based SHM.
CoRR, 2024

Towards an active-learning approach to resource allocation for population-based damage prognosis.
CoRR, 2024

Cost-informed dimensionality reduction for structural digital twin technologies.
CoRR, 2024

Active learning for regression in engineering populations: A risk-informed approach.
CoRR, 2024

Multitask learning for improved scour detection: A dynamic wave tank study.
CoRR, 2024

Quantifying the value of positive transfer: An experimental case study.
CoRR, 2024

Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling.
CoRR, 2024

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.
CoRR, 2024

2023
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves.
Sensors, 2023

Quantifying the value of information transfer in population-based SHM.
CoRR, 2023

Population-based wind farm monitoring based on a spatial autoregressive approach.
CoRR, 2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.
CoRR, 2023

Towards a population-informed approach to the definition of data-driven models for structural dynamics.
CoRR, 2023

A decision framework for selecting information-transfer strategies in population-based SHM.
CoRR, 2023

On the hierarchical Bayesian modelling of frequency response functions.
CoRR, 2023

When is an SHM problem a Multi-Task-Learning problem?
CoRR, 2023

Towards risk-informed PBSHM: Populations as hierarchical systems.
CoRR, 2023

Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets.
CoRR, 2023

A Meta-Learning Approach to Population-Based Modelling of Structures.
CoRR, 2023

2022
On the application of population-based structural health monitoring in aerospace engineering.
Frontiers Robotics AI, 2022

A topological analysis of cointegrated data: a Z24 Bridge case study.
CoRR, 2022

On topological data analysis for SHM; an introduction to persistent homology.
CoRR, 2022

On the application of topological data analysis: a Z24 Bridge case study.
CoRR, 2022

On topological data analysis for structural dynamics: an introduction to persistent homology.
CoRR, 2022

On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation.
CoRR, 2022

Mitigating sampling bias in risk-based active learning via an EM algorithm.
CoRR, 2022

A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes.
CoRR, 2022

Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers.
CoRR, 2022

On statistic alignment for domain adaptation in structural health monitoring.
CoRR, 2022

A Bayesian Approach for Shaft Centre Localisation in Journal Bearings.
CoRR, 2022

Modelling variability in vibration-based PBSHM via a generalised population form.
CoRR, 2022

On generative models as the basis for digital twins.
CoRR, 2022

On partitioning of an SHM problem and parallels with transfer learning.
CoRR, 2022

On an application of graph neural networks in population based SHM.
CoRR, 2022

On generating parametrised structural data using conditional generative adversarial networks.
CoRR, 2022

On the application of generative adversarial networks for nonlinear modal analysis.
CoRR, 2022

On robust risk-based active-learning algorithms for enhanced decision support.
CoRR, 2022

2021
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm.
CoRR, 2021

Canonical-Correlation-Based Fast Feature Selection.
CoRR, 2021

On risk-based active learning for structural health monitoring.
CoRR, 2021

Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces.
CoRR, 2021

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.
CoRR, 2021

Damage detection in operational wind turbine blades using a new approach based on machine learning.
CoRR, 2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves.
CoRR, 2021

2020
Emerging Trends in Optimal Structural Health Monitoring System Design: From Sensor Placement to System Evaluation.
J. Sens. Actuator Networks, 2020

Towards the Probabilistic Analysis of Small Bowel Capsule Endoscopy Features to Predict Severity of Duodenal Histology in Patients with Villous Atrophy.
J. Medical Syst., 2020

A Bayesian methodology for localising acoustic emission sources in complex structures.
CoRR, 2020

Bayesian graph neural networks for strain-based crack localization.
CoRR, 2020

On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression.
CoRR, 2020

2017
Aspects of computational intelligence in structural dynamics: Structural health monitoring.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Some Recent Developments in SHM Based on Nonstationary Time Series Analysis.
Proc. IEEE, 2016

2015
A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm.
IEEE Trans. Ind. Electron., 2015

Estimation of Fingertip Force from Surface EMG - A Multivariate Bayesian Mixture of Experts Approach.
Proceedings of the BIOSIGNALS 2015, 2015

2011
Influence of the Autoregressive Model Order on Damage Detection.
Comput. Aided Civ. Infrastructure Eng., 2011

2007
Evaluation of neural network performance and generalisation using thresholding functions.
Neural Comput. Appl., 2007

2006
Evaluation of Neural Network Robust Reliability Using Information-Gap Theory.
IEEE Trans. Neural Networks, 2006

2001
Interval Methods in Non-Destructive Testing of Material Structures.
Reliab. Comput., 2001

2000
Detection of defects in composite plates using Lamb waves and novelty detection.
Int. J. Syst. Sci., 2000

Intelligent fault detection.
Int. J. Syst. Sci., 2000

1997
Classification of Faults in Gearboxes - Pre-processing Algorithms and Neural Networks.
Neural Comput. Appl., 1997


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