activity
20202022
most citedDamage detection in operational wind turbine blades using a new approach based on machine learning

87 citations · 404 across the 17 of their papers we have counts for

collaborators

18 papers

cs.HC2022

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

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Topological methods are very rarely used in structural health monitoring (SHM), or indeed in structural dynamics generally, especially when considering the structure and topology o…

math.DS2022

On the application of the generating series for nonlinear systems with polynomial stiffness

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Analytical solutions to nonlinear differential equations -- where they exist at all -- can often be very difficult to find. For example, Duffing's equation for a system with cubic…

stat.ML20222 cited

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

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Topological methods can provide a way of proposing new metrics and methods of scrutinising data, that otherwise may be overlooked. In this work, a method of quantifying the shape o…

cs.LG20223 cited

On statistic alignment for domain adaptation in structural health monitoring

Jack Poole, Paul Gardner, Nikolaos Dervilis +2

The practical application of structural health monitoring (SHM) is often limited by the availability of labelled data. Transfer learning - specifically in the form of domain adapta…

cs.LG20221 cited

A Bayesian Approach for Shaft Centre Localisation in Journal Bearings

Christopher A. Lindley, Scott Beamish, Rob Dwyer-Joyce +2

It has been shown that ultrasonic techniques work well for online measuring of circumferential oil film thickness profile in journal bearings; unfortunately, they can be limited by…

cs.LG202232 cited

On generative models as the basis for digital twins

G. Tsialiamanis, D. J. Wagg, N. Dervilis +1

A framework is proposed for generative models as a basis for digital twins or mirrors of structures. The proposal is based on the premise that deterministic models cannot account f…