Search Results - "Bull, L.A."

Probabilistic active learning: An online framework for structural health monitoring by Bull, L.A., Rogers, T.J., Wickramarachchi, C., Cross, E.J., Worden, K., Dervilis, N.

“…•A critical issue for data-based SHM is a lack of descriptive labels for measured data.•For many applications, these labels are costly and/or impractical to…”
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Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer by Gardner, P., Bull, L.A., Gosliga, J., Dervilis, N., Worden, K.

“…•For the first time a new population-based methodology is proposed that alleviates problems with sparsity of data in SHM.•The applicability of domain…”
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Towards semi-supervised and probabilistic classification in structural health monitoring by Bull, L.A., Worden, K., Dervilis, N.

“…•A semi-supervised algorithm alleviates issues with sparsely labelled measurements in SHM.•A probabilistic GMM informs damage-classification, given labelled…”
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On robust risk-based active-learning algorithms for enhanced decision support by Hughes, A.J., Bull, L.A., Gardner, P., Dervilis, N., Worden, K.

“…Classification models are a fundamental component of physical-asset management technologies such as structural health monitoring (SHM) systems and digital…”
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On the application of kernelised Bayesian transfer learning to population-based structural health monitoring by Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

“…Data-driven approaches to Structural Health Monitoring (SHM) generally suffer from a lack of available health-state data. In particular, for most structures,…”
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Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities by Gosliga, J., Gardner, P.A., Bull, L.A., Dervilis, N., Worden, K.

“…•Second paper in a three-part series laying a foundation for population-based SHM (PBSHM).•Introduces the Irreducible Element (IE) model as a basis for a novel…”
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On the hierarchical Bayesian modelling of frequency response functions by Dardeno, T.A., Worden, K., Dervilis, N., Mills, R.S., Bull, L.A.

“…Structural health monitoring (SHM) strategies seek to evaluate, predict, and maintain structural integrity, to improve the safety and design service life of…”
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Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning by Gardner, P., Bull, L.A., Dervilis, N., Worden, K.

“…Structural repairs alter the physical properties of a structure, changing its responses, both in terms of its normal condition and of its different damage…”
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Foundations of population-based SHM, Part I: Homogeneous populations and forms by Bull, L.A., Gardner, P.A., Gosliga, J., Rogers, T.J., Dervilis, N., Cross, E.J., Papatheou, E., Maguire, A.E., Campos, C., Worden, K.

“…•A new population-based methodology alleviates problems with sparsity of data in SHM.•The population Form is proposed and modelled, to monitor nominally…”
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Modelling variability in vibration-based PBSHM via a generalised population form by Dardeno, T.A., Bull, L.A., Mills, R.S., Dervilis, N., Worden, K.

“…Structural health monitoring (SHM) has been an active research area for the last three decades, and has accumulated a number of critical advances over that…”
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On risk-based active learning for structural health monitoring by Hughes, A.J., Bull, L.A., Gardner, P., Barthorpe, R.J., Dervilis, N., Worden, K.

“…A primary motivation for the development and implementation of structural health monitoring systems, is the prospect of gaining the ability to make informed…”
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A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings by Gardner, P., Bull, L.A., Gosliga, J., Poole, J., Dervilis, N., Worden, K.

“…Population-based structural health monitoring (PBSHM) offers a new viewpoint for structural health monitoring (SHM), allowing diagnostic information to be…”
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Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data by Bull, L.A., Worden, K., Fuentes, R., Manson, G., Cross, E.J., Dervilis, N.

“…Outlier ensembles are shown to provide a robust method for damage detection and dimension reduction via a wholly unsupervised framework. Most interestingly,…”
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On the transfer of damage detectors between structures: An experimental case study by Bull, L.A., Gardner, P.A., Dervilis, N., Papatheou, E., Haywood-Alexander, M., Mills, R.S., Worden, K.

“…Incomplete data – which fail to represent environmental effects or damage – are a significant challenge for structural health monitoring (SHM)…”
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Bayesian modelling of multivalued power curves from an operational wind farm by Bull, L.A., Gardner, P.A., Rogers, T.J., Dervilis, N., Cross, E.J., Papatheou, E., Maguire, A.E., Campos, C., Worden, K.

“…Power curves capture the relationship between wind speed and output power for a specific wind turbine. Accurate regression models of this function prove useful…”
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Segmentation of Mississippi's natural and artificial lakes by Miranda, L.E., Bull, L.A., Colvin, M.E., Hubbard, W.D., Pugh, L.L.

“…Miranda L, Bull L, Colvin M, Hubbard W, Pugh L. 2018. Segmentation of Mississippi's natural and artificial lakes. Lake Reserv Manage. 34:376-391. Segmentations…”
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Molecular studies of pressure/temperature-induced structural changes in bovine β-lactoglobulin by Aouzelleg, A, Bull, L.A, Price, N.C, Kelly, S.M

“…β-Lactoglobulin in 50 mM Tris/HCl buffer at pH 7 was subjected to combined pressure and temperature treatments using a central composite experimental design…”
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Differential scanning calorimetry study of pressure/temperature processed β-lactoglobulin: The effect of dextran sulphate by Aouzelleg, Amar, Bull, Laura-Anne

“…β-Lactoglobulin at pH 7 in the presence or absence of dextran sulphate (1:1 weight ratio) was subjected to a combined pressure and temperature treatment…”
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