87 citations · 404 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces
George Tsialiamanis, Charilaos Mylonas, Eleni Chatzi +3
One of the requirements of the population-based approach to Structural Health Monitoring (SHM) proposed in the earlier papers in this sequence, is that structures be represented by…
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
Lawrence A. Bull, Paul Gardner, Timothy J. Rogers +3
In data-driven SHM, the signals recorded from systems in operation can be noisy and incomplete. Data corresponding to each of the operational, environmental, and damage states are…
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden +3
The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monit…