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07/13/2023
A decision framework for selecting information-transfer strategies in population-based SHM
Decision-support for the operation and maintenance of structures provide...
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04/11/2023
VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems
Reduced Order Models (ROMs) are of considerable importance in many areas...
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09/12/2022
On the application of topological data analysis: a Z24 Bridge case study
Topological methods are very rarely used in structural health monitoring...
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09/12/2022
On topological data analysis for structural dynamics: an introduction to persistent homology
Topological methods can provide a way of proposing new metrics and metho...
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09/08/2022
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves
Ultrasonic guided waves offer a convenient and practical approach to str...
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06/25/2022
Mitigating sampling bias in risk-based active learning via an EM algorithm
Risk-based active learning is an approach to developing statistical clas...
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06/23/2022
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes
Reductions in natural frequency are often used as a damage indicator for...
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06/23/2022
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
Gaining the ability to make informed decisions on operation and maintena...
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05/24/2022
Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals
Ultrasonic guided waves offer a convenient and practical approach to str...
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05/24/2022
On statistic alignment for domain adaptation in structural health monitoring
The practical application of structural health monitoring (SHM) is often...
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03/22/2022
A Bayesian Approach for Shaft Centre Localisation in Journal Bearings
It has been shown that ultrasonic techniques work well for online measur...
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03/14/2022
Modelling variability in vibration-based PBSHM via a generalised population form
Structural health monitoring (SHM) has been an active research area for ...
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03/03/2022
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks
In the field of structural health monitoring (SHM), inverse problems whi...
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01/07/2022
On robust risk-based active-learning algorithms for enhanced decision support
Classification models are a fundamental component of physical-asset mana...
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09/23/2021
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks
In analyzing and assessing the condition of dynamical systems, it is nec...
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03/05/2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces
One of the requirements of the population-based approach to Structural H...
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03/02/2021
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
In data-driven SHM, the signals recorded from systems in operation can b...
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01/25/2021
Damage detection in operational wind turbine blades using a new approach based on machine learning
The application of reliable structural health monitoring (SHM) technolog...
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01/05/2021
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
The use of ultrasonic guided waves to probe the materials/structures for...
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06/30/2020