most citedQuantifying the value of information transfer in population-based SHM

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20231 cited

Quantifying the value of information transfer in population-based SHM

Aidan J. Hughes, Jack Poole, Nikolaos Dervilis +2

Population-based structural health monitoring (PBSHM), seeks to address some of the limitations associated with data scarcity that arise in traditional SHM. A tenet of the populati…

cs.LG2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting

Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno +6

At present, most surface-quality prediction methods can only perform single-task prediction which results in under-utilised datasets, repetitive work and increased experimental cos…

cs.LG2023

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

Aidan J. Hughes, Jack Poole, Nikolaos Dervilis +2

Decision-support for the operation and maintenance of structures provides significant motivation for the development and implementation of structural health monitoring (SHM) system…

math.NA2023

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

Thomas Simpson, Konstantinos Vlachas, Anthony Garland +2

Reduced Order Models (ROMs) are of considerable importance in many areas of engineering in which computational time presents difficulties. Established approaches employ projection-…

stat.AP2022

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

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden +3

Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully-define…