Nikolaos Dervilis

According to our database, Nikolaos Dervilis authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

S. M. Smith, Aidan J. Hughes, Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2024

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

Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden

CoRR, 2024

2023

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

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers

Sensors, 2023

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

Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden

CoRR, 2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.

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

CoRR, 2023

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

George Tsialiamanis, Nikolaos Dervilis, David J. Wagg, Keith Worden

CoRR, 2023

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

Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden

CoRR, 2023

On the hierarchical Bayesian modelling of frequency response functions.

Tina A. Dardeno, Robin S. Mills, Nikolaos Dervilis, Keith Worden, Lawrence A. Bull

CoRR, 2023

When is an SHM problem a Multi-Task-Learning problem?

Sarah Bee, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2023

VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems.

Thomas Simpson, Konstantinos Vlachas, Anthony Garland, Nikolaos Dervilis, Eleni N. Chatzi

CoRR, 2023

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

S. C. Bee, Evangelos Papatheou, Marcus Haywood-Alexander, Robin S. Mills, Lawrence A. Bull, Keith Worden, Nikolaos Dervilis

CoRR, 2023

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

George Tsialiamanis, Nikolaos Dervilis, David J. Wagg, Keith Worden

CoRR, 2023

2022

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

Tristan Gowdridge, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Tina A. Dardeno, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Aidan J. Hughes, Paul Gardner, Lawrence A. Bull, Nikolaos Dervilis, Keith Worden

CoRR, 2022

On statistic alignment for domain adaptation in structural health monitoring.

Jack Poole, Paul Gardner, Nikolaos Dervilis, Lawrence A. Bull, Keith Worden

CoRR, 2022

A Bayesian Approach for Shaft Centre Localisation in Journal Bearings.

Christopher A. Lindley, Scott Beamish, Rob Dwyer-Joyce, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

Tina A. Dardeno, Lawrence A. Bull, Robin S. Mills, Nikolaos Dervilis, Keith Worden

CoRR, 2022

On generative models as the basis for digital twins.

George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden

CoRR, 2022

Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks.

Thomas Simpson, Nikolaos Dervilis, Philippe Couturier, Nico Maljaars, Eleni N. Chatzi

CoRR, 2022

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

George Tsialiamanis, David J. Wagg, P. A. Gardner, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, David J. Wagg, Nikolaos Dervilis, Keith Worden

CoRR, 2022

On generating parametrised structural data using conditional generative adversarial networks.

George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden

CoRR, 2022

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

George Tsialiamanis, Max D. Champneys, Nikolaos Dervilis, David J. Wagg, Keith Worden

CoRR, 2022

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

Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Nikolaos Dervilis, Keith Worden

CoRR, 2022

2021

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

Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden

CoRR, 2021

Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks.

Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi

CoRR, 2021

On risk-based active learning for structural health monitoring.

Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden

CoRR, 2021

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

George Tsialiamanis, Charilaos Mylonas, Eleni N. Chatzi, Nikolaos Dervilis, David J. Wagg, Keith Worden

CoRR, 2021

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

Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

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

Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves.

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers

CoRR, 2021

2020

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

Stefania Chetcuti Zammit, Lawrence A. Bull, David S. Sanders, Jessica Galvin, Nikolaos Dervilis, Reena Sidhu, Keith Worden

J. Medical Syst., 2020

On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling.

Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi

CoRR, 2020

2017

Aspects of computational intelligence in structural dynamics: Structural health monitoring.

Nikolaos Dervilis, Elizabeth J. Cross, Ifigeneia Antoniadou, Charles R. Farrar, Keith Worden

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2015

A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm.

Evangelos Papatheou, Nikolaos Dervilis, Andrew Eoghan Maguire, Ifigeneia Antoniadou, Keith Worden

IEEE Trans. Ind. Electron., 2015