Search Results for author:
Found 16 papers, 1 papers with code
Quantifying the value of information transfer in population-based SHM
Population-based structural health monitoring (PBSHM), seeks to address some of the limitations associated with data scarcity that arise in traditional SHM.
Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
At present, most surface-quality prediction methods can only perform single-task prediction which results in under-utilised datasets, repetitive work and increased experimental costs.
A decision framework for selecting information-transfer strategies in population-based SHM
Decision-support for the operation and maintenance of structures provides significant motivation for the development and implementation of structural health monitoring (SHM) systems.
On topological data analysis for structural dynamics: an introduction to persistent homology
In this work, a method of quantifying the shape of data, via a topic called topological data analysis will be introduced.
A topological analysis of cointegrated data: a Z24 Bridge case study
Cointegration is used in this paper to remove effects from Environmental and Operational Variations, by cointegrating the first four natural frequencies for the Z24 Bridge data.
Mitigating sampling bias in risk-based active learning via an EM algorithm
For SHM applications, the value of information is evaluated with respect to a maintenance decision process, and the data-label querying corresponds to the inspection of a structure to determine its health state.
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes
In this paper, an overlapping mixture of Gaussian processes (OMGP), was used to generate labels and quantify the uncertainty of normal-condition frequency response data from the helicopter blades.
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
For risk-based active learning in SHM, the value of information is evaluated with respect to a maintenance decision process, and the data-label querying corresponds to the inspection of a structure to determine its health state.
On statistic alignment for domain adaptation in structural health monitoring
The practical application of structural health monitoring (SHM) is often limited by the availability of labelled data.
A Bayesian Approach for Shaft Centre Localisation in Journal Bearings
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 their measuring range and unable to capture details of the film all around the bearing circumference.
Modelling variability in vibration-based PBSHM via a generalised population form
This work aims to address this variability by defining a general model for the frequency response functions of the blades, called a form, using mixtures of Gaussian processes.
On robust risk-based active-learning algorithms for enhanced decision support
In contrast, the discriminative classifiers are shown to have excellent robustness to the effects of sampling bias.
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 Health Monitoring (SHM) proposed in the earlier papers in this sequence, is that structures be represented by points in an abstract space.
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
In data-driven SHM, the signals recorded from systems in operation can be noisy and incomplete.
Damage detection in operational wind turbine blades using a new approach based on machine learning
The methodology takes advantage of the fact that the blades on a turbine are nominally identical in structural properties and encounter the same environmental and operational variables (EOVs).
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
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 monitoring (SHM).
