Professor Elizabeth Cross
School of Mechanical, Aerospace and Civil Engineering
Faculty Director of Research & Innovation
EPSRC Innovation Fellow
e.j.cross@sheffield.ac.uk
+44 114 222 7846
+44 114 222 7846
D240, Sir Frederick Mappin Building
Full contact details
Professor Elizabeth Cross
School of Mechanical, Aerospace and Civil Engineering
D240
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
School of Mechanical, Aerospace and Civil Engineering
D240
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
-
Lizzy Cross is a Professor in the Dynamics Research Group at the University of Sheffield. Before starting her lectureship in 2012, she completed a Bachelors in Mathematics (1st class), and Masters and PhD in Mechanical Engineering.
She currently holds an EPRSC Innovation Fellowship on the development of grey-box models for assessing the health of structures in operation (grey-box models combine physics-based models with machine learning technology). Lizzy is a co-director of the Laboratory for Verification and Validation, a state-of-the-art dynamic testing facility (lvv.ac.uk).
- Research interests
-
Lizzy’s main research interests span the fields of structural health monitoring (SHM), machine learning and nonlinear system identification. Most of her research projects focus on the analysis of large datasets from monitored structures, where she employs data-driven algorithms to extract useful information.
For SHM, these efforts attempt to address the problem of confounding influences - where benign changes in the measurements of structural parameters caused by the environment mask the detectability of damage.
- Publications
-
Journal articles
- Hierarchical Gaussian processes for characterizing gait variability in multiple sclerosis. Data-Centric Engineering, 6. View this article in WRRO
- On calculating structural similarity metrics in population-based structural health monitoring. Data-Centric Engineering, 6. View this article in WRRO
- Active learning for regression in engineering populations: a risk-informed approach. Data-Centric Engineering, 6. View this article in WRRO
- Foundations of population-based SHM, Part V: Network, framework and database. Mechanical Systems and Signal Processing, 223, 111602-111602.
- Canonical-correlation-based fast feature selection for structural health monitoring. Mechanical Systems and Signal Processing, 223, 111895-111895.
- Meta-models for transfer learning in source localization. Data-Centric Engineering, 5. View this article in WRRO
- Similarity assessment of structures for population-based structural health monitoring via graph kernels. Structural Health Monitoring. View this article in WRRO
- Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I). IFAC-PapersOnLine, 58(15), 492-496.
- Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part II). IFAC-PapersOnLine, 58(15), 497-501.
- Physically-informed change-point kernels for variable levels of physical knowledge inclusion in Gaussian processes. Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024), 29(7). View this article in WRRO
- Gaussian process kernels for partial physical insight. Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024), 29(7). View this article in WRRO
- Refinement and validation of the minimal information data-modelling (MID) method for bridge management. Sensors, 24(12). View this article in WRRO
- On population-based structural health monitoring for bridges: comparing similarity metrics and dynamic responses between sets of bridges. Mechanical Systems and Signal Processing, 216. View this article in WRRO
- A spectrum of physics-informed Gaussian processes for regression in engineering. Data-Centric Engineering, 5(11). View this article in WRRO
- A probabilistic approach for acoustic emission based monitoring techniques: with application to structural health monitoring. Mechanical Systems and Signal Processing, 208. View this article in WRRO
- On gait consistency quantification through ARX residual modeling and kernel two-sample testing. IEEE Transactions on Biomedical Engineering, 71(3), 720-731. View this article in WRRO
- Measuring data similarity in population-based structural health monitoring using distance metrics. Structural Health Monitoring, 23(4), 2609-2635. View this article in WRRO
- Minimal Information Data-Modelling (MID) and an easily implementable low-cost SHM system for use on a short-span bridge. Sensors, 23(14). View this article in WRRO
- Improving aircraft performance using machine learning: A review. Aerospace Science and Technology, 138, 108354-108354.
- Identification of piecewise-linear mechanical oscillators via Bayesian model selection and parameter estimation. Mechanical Systems and Signal Processing, 196. View this article in WRRO
- Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression. Structural Health Monitoring, 22(5), 3065-3076. View this article in WRRO
- Resource-efficient machining through physics-informed machine learning. Procedia CIRP, 117, 347-352.
- Constraining Gaussian processes for physics-informed acoustic emission mapping. Mechanical Systems and Signal Processing, 188. View this article in WRRO
- A mapping method for anomaly detection in a localized population of structures. Data-Centric Engineering, 3. View this article in WRRO
- Online damage detection of cutting tools using Dirichlet process mixture models. Mechanical Systems and Signal Processing, 180. View this article in WRRO
- A sampling-based approach for information-theoretic inspection management. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262). View this article in WRRO
- Robust equation discovery considering model discrepancy: a sparse Bayesian and Gaussian process approach. Mechanical Systems and Signal Processing, 168. View this article in WRRO
- A Bayesian methodology for localising acoustic emission sources in complex structures. Mechanical Systems and Signal Processing, 163. View this article in WRRO
- Bayesian modelling of multivalued power curves from an operational wind farm. Mechanical Systems and Signal Processing, 169. View this article in WRRO
- On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. Mechanical Systems and Signal Processing, 161. View this article in WRRO
- Grey-box models for wave loading prediction. Mechanical Systems and Signal Processing, 159. View this article in WRRO
- Structured machine learning tools for modelling characteristics of guided waves. Mechanical Systems and Signal Processing, 156. View this article in WRRO
- Damage detection in operational wind turbine blades using a new approach based on machine learning. Renewable Energy, 168, 1249-1264. View this article in WRRO
- Probabilistic inference for structural health monitoring: new modes of learning from data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1). View this article in WRRO
- Foundations of population-based SHM, Part I : homogeneous populations and forms. Mechanical Systems and Signal Processing, 148. View this article in WRRO
- Equation discovery for nonlinear dynamical systems : a Bayesian viewpoint. Mechanical Systems and Signal Processing, 154. View this article in WRRO
- New results for the ADF statistic in nonstationary signal analysis with a view towards structural health monitoring. Mechanical Systems and Signal Processing, 146, 106979-106979.
- Autonomous ultrasonic inspection using bayesian optimisation and robust outlier analysis. Mechanical Systems and Signal Processing, 145. View this article in WRRO
- Machine learning at the interface of structural health monitoring and non-destructive evaluation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2182). View this article in WRRO
- A brief introduction to recent developments in population-based structural health monitoring. Frontiers in Built Environment, 6. View this article in WRRO
- Bayesian joint input-state estimation for nonlinear systems. Vibration, 3(3), 281-303. View this article in WRRO
- On digital twins, mirrors and virtualisations: Frameworks for model verification and validation. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering, 6(3). View this article in WRRO
- Enabling robotic adaptive behaviour capabilities for new Industry 4.0 automated quality inspection paradigms. Insight - Non-Destructive Testing and Condition Monitoring, 62(6), 338-344.
- On the application of Gaussian process latent force models for joint input-state-parameter estimation : With a view to Bayesian operational identification. Mechanical Systems and Signal Processing, 140. View this article in WRRO
- Probabilistic modelling of wind turbine power curves with application of heteroscedastic gaussian process regression. Renewable Energy, 148, 1124-1136. View this article in WRRO
- Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling. Renewable Energy, 147(1), 776-797.
- Probabilistic active learning : an online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134. View this article in WRRO
- Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data. Journal of Sound and Vibration, 453, 126-150. View this article in WRRO
- On the performance of a cointegration-based approach for novelty detection in realistic fatigue crack growth scenarios. Mechanical Systems and Signal Processing, 123, 84-101. View this article in WRRO
- A cointegration approach for heteroscedastic data based on a time series decomposition: An application to structural health monitoring. Mechanical Systems and Signal Processing, 120, 16-31. View this article in WRRO
- Use of the cointegration strategies to remove environmental effects from data acquired on historical buildings. Engineering Structures, 183, 1014-1026. View this article in WRRO
- Mechanical behaviour of tangled metal wire devices. Mechanical Systems and Signal Processing, 118, 13-29. View this article in WRRO
- A probabilistic compressive sensing framework with applications to ultrasound signal processing. Mechanical Systems and Signal Processing, 117, 383-402. View this article in WRRO
- On evolutionary system identification with applications to nonlinear benchmarks. Mechanical Systems and Signal Processing, 112, 194-232. View this article in WRRO
- On the confidence bounds of Gaussian process NARX models and their higher-order frequency response functions. Mechanical Systems and Signal Processing, 104, 188-223. View this article in WRRO
- A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring. Mechanical Systems and Signal Processing, 103, 381-397. View this article in WRRO
- On switching response surface models, with applications to the structural health monitoring of bridges. Mechanical Systems and Signal Processing, 98, 139-156. View this article in WRRO
- Observations on acoustic emissions from a line contact compressed into the plastic region. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 230(11), 1371-1376. View this article in WRRO
- Prediction of landing gear loads using machine learning techniques. Structural Health Monitoring, 15(5), 568-582. View this article in WRRO
- Some Recent Developments in SHM Based on Nonstationary Time Series Analysis. Proceedings of the IEEE, 104(8), 1589-1603. View this article in WRRO
- Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems. Mechanical Systems and Signal Processing, 66-67, 178-200. View this article in WRRO
- A Non-linear Manifold Strategy for SHM Approaches. Strain. View this article in WRRO
- On robust regression analysis as a means of exploring environmental and operational conditions for SHM data. Journal of Sound and Vibration, 347, 279-296. View this article in WRRO
- Bayesian system identification of dynamical systems using highly informative training data. Mechanical Systems and Signal Processing, 56-57, 109-122. View this article in WRRO
- Robust methods of inclusive outlier analysis for structural health monitoring. Journal of Sound and Vibration, 333(20), 5181-5195.
- A multiresolution approach to cointegration for enhanced SHM of structures under varying conditions - An exploratory study. Mechanical Systems and Signal Processing.
- Cointegration and the empirical mode decomposition for the analysis of diagnostic data. Key Engineering Materials, 569-570, 884-891.
- Long-term monitoring and data analysis of the Tamar Bridge. Mechanical Systems and Signal Processing, 35(1-2), 16-34.
- Linear approaches to modeling nonlinearities in long-term monitoring of bridges. Journal of Civil Structural Health Monitoring, 3(3), 187-194.
- Features for damage detection with insensitivity to environmental and operational variations. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 468(2148), 4098-4122.
- Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data. P ROY SOC A-MATH PHY, 467(2133), 2712-2732.
- Approximation of the Duffing oscillator frequency response function using the FPK equation. Journal of Sound and Vibration, 330(4), 743-756.
- Approximation of the Duffing oscillator frequency response function using the FPK equation. Journal of Sound and Vibration.
- Equine syncope. Veterinary Record, 122(9), 215-215.
- Experimental aerodynamic characteristics of an NACA 0012 airfoil with simulated ice. Journal of Aircraft, 22(2), 130-134.
- Performance degradation of a model helicopter rotor with a generic ice shape. Journal of Aircraft, 21(10), 823-830.
- Investigation of the leeward side of a delta wing at hypersonic speeds.. Journal of Spacecraft and Rockets, 6(2), 185-190.
- Approximate closed-form solutions for supersonic laminar separated flows.. AIAA Journal, 5(4), 651-654.
- THE IDENTIFICATION OF SULPHONIC ACID REDUCTION PRODUCTS OF AZO DYES .2. SULPHONIC ACIDS OF 1-AMINO-2-NAPHTHOL. JOURNAL OF THE SOCIETY OF DYERS AND COLOURISTS, 78(6), 280-285.
- Prof. F. M. Rowe, F.R.S. Nature, 159(4028), 53-53.
- SODIUM 2-HYDROXY-3-CARBOXYNAPHTHALENE-6-SULPHONATE AND 2-6-DIHYDROXYNAPHTHALENE-3-CARBOXYLIC ACID. JOURNAL OF THE SOCIETY OF DYERS AND COLOURISTS, 62(5), 150-151.
- THE DECOMPOSITION OF AZO COMPOUNDS BY DISTILLATION WITH SODA-LIME. JOURNAL OF THE SOCIETY OF DYERS AND COLOURISTS, 61(3), 74-76.
- The Government's Milk Policy. BRITISH MEDICAL JOURNAL, 1943, 340-340.
- The net capitation fee.. BRITISH MEDICAL JOURNAL, 1920, 27-27.
- Extermination of vermin infesting troops. BRITISH MEDICAL JOURNAL, 1915, 317-317.
- A spin on active learning analysis for health monitoring.. e-Journal of Nondestructive Testing, 29(7).
- A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring. Mechanical Systems and Signal Processing, 119, 100-119. View this article in WRRO
- Robust methods for outlier detection and regression for SHM applications.. International Journal of Sustainable Materials and Structural Systems, 2(1/2). View this article in WRRO
- 92. A reaction of certain diazosulphonates derived from β-naphthol-1-sulphonic acid. Part XIX. Derivatives of 4′-nitro-2′-methoxybenzene-2-naphthol-1-diazosulphonate. J. Chem. Soc., 0(0), 461-468.
Book chapters
- Grey-Box Modelling via Gaussian Process Mean Functions for Mechanical Systems, Data Science in Engineering, Volume 9 (pp. 161-168). River Publishers
- On a Description of Aeroplanes and Aeroplane Components Using Irreducible Element Models, Data Science in Engineering, Volume 9 (pp. 103-114). River Publishers
- Towards Population-Based Structural Health Monitoring, Part V: Networks and Databases, Data Science in Engineering, Volume 9 (pp. 1-8). River Publishers
- On Aspects of Geometry in SHM and Population-Based SHM, Data Science in Engineering, Volume 9 (pp. 67-77). River Publishers
- Heteroscedastic Gaussian Processes for Localising Acoustic Emission, Data Science in Engineering, Volume 9 (pp. 185-197). River Publishers
- Investigating Engineering Data by Probabilistic Measures, Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). River Publishers
- On Stationarity and the Interpretation of the ADF Statistic, Dynamics of Civil Structures, Volume 2 (pp. 29-38). River Publishers
- State-of-the-Art and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Dynamics of Civil Structures, Volume 2 (pp. 223-233). River Publishers
- Bayesian Solutions to State-Space Structural Identification, Model Validation and Uncertainty Quantification, Volume 3 (pp. 247-253). River Publishers
- An Evolutionary Approach to Learning Neural Networks for Structural Health Monitoring, Model Validation and Uncertainty Quantification, Volume 3 (pp. 237-246). River Publishers
- Predicting Tool Wear Using Linear Response Surface Methodology and Gaussian Process Regression, Topics in Modal Analysis & Testing, Volume 8 (pp. 283-286). River Publishers
- Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems, Nonlinear Structures & Systems, Volume 1 (pp. 165-175). River Publishers
- Data-Centric Monitoring of Wind Farms, Data Driven Methods for Civil Structural Health Monitoring and Resilience (pp. 120-180). CRC Press
- Rapid Assessment of Offshore Monopile Fatigue Using Machine Learning, Lecture Notes in Civil Engineering (pp. 101-112). Springer International Publishing
- Physical Covariance Functions for Dynamic Systems with Time-Dependent Parameters, Lecture Notes in Civil Engineering (pp. 381-391). Springer International Publishing
- A Topological Analysis of Cointegrated Data: A Z24 Bridge Case Study, Lecture Notes in Civil Engineering (pp. 1095-1106). Springer International Publishing
- When is a Bridge Not an Aeroplane? Part II: A Population of Real Structures, Lecture Notes in Civil Engineering (pp. 965-974). Springer International Publishing
- On the Use of Graph Kernels for Assessing Similarity of Structures in Population-Based Structural Health Monitoring, Lecture Notes in Civil Engineering (pp. 995-1004). Springer International Publishing
- Gaussian Processes, Computational Methods in Engineering & the Sciences (pp. 121-147). Springer International Publishing
- Artificial Neural Networks, Computational Methods in Engineering & the Sciences (pp. 85-119). Springer International Publishing
- Digital Transformation by the Implementation of the True Digital Twin Concept and Big Data Technology for Structural Integrity Management, Ageing and Life Extension of Offshore Facilities (pp. 143-157). ASME
- Physics-informed machine learning for structural health monitoring In Cury A, Ribeiro D, Ubertini F & Todd MD (Ed.), Structural Health Monitoring Based on Data Science Techniques (pp. 347-367). Springer Cham View this article in WRRO
- Population-based structural health monitoring In Cury A, Ribeiro D, Ubertini F & Todd MD (Ed.), Structural Health Monitoring Based on Data Science Techniques (pp. 413-435). Springer Cham View this article in WRRO
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 989-1061). Springer New York
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- Gaussian Process Based Grey-Box Modelling for SHM of Structures Under Fluctuating Environmental Conditions, Lecture Notes in Civil Engineering (pp. 55-66). Springer International Publishing
- On Metrics Assessing the Information Content of Datasets for Population-Based Structural Health Monitoring, Lecture Notes in Civil Engineering (pp. 494-504). Springer International Publishing
- New Modes of Inference for Probabilistic SHM, Lecture Notes in Civil Engineering (pp. 415-426). Springer International Publishing
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- Switching Response Surface Models for Structural Health Monitoring of Bridges In Koziel S & Leifsson L (Ed.), Surrogate-Based Modeling and Optimization Springer Science & Business
- An introduction to Structural Health Monitoring in the context of civil infrastructure, Health Assessment of Engineering Structures: Bridges and Other Infrastructure
Conference proceedings
- Parameter estimation by optimization of interpretable hyperparameters with physics-informed Gaussian processes. Proceedings of the 15th International Workshop on Structural Health Monitoring (pp 1752-1759). California, USA, 9 September 2025 - 9 September 2025. View this article in WRRO
- A Gibbs sampler for removing environmental effects in structural health monitoring features. Proceedings of the 11th International Operational Modal Analysis Conference Iomac 2025 (pp 288-295)
- On Quantifying Data Normalisation via Cointegration with Topological Methods (pp 43-52)
- Calculating Structure Similarity via a Graph Neural Network in Population-Based Structural Health Monitoring: Part II (pp 151-158)
- A Tutorial on Data-Driven Methods in Nonlinear Dynamics (pp 51-70)
- Equation Discovery Using an Efficient Variational Bayesian Approach with Spike-and-Slab Priors (pp 149-161)
- Implementation of an Organic Database Structure for Population-Based Structural Health Monitoring (pp 23-41)
- An Exploratory Study on Removing Environmental and Operational Effects Using a Regime-Switching Cointegration Method (pp 329-337)
- Identification of NonlinearWave Forces Using Gaussian Process NARX Models (pp 203-219)
- On a Grey Box Modelling Framework for Nonlinear System Identification (pp 167-178)
- In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves (pp 179-188)
- Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes (pp 145-153)
- Physics-informed Gaussian processes - a guide to what physics where?. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 4469-4481)
- On deriving kernels for linear time-dependent systems. Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and Usd 2024 International Conference on Uncertainty in Structural Dynamics (pp 4490-4502)
- ON ENGLE-GRANGER COINTEGRATION USING TREED GAUSSIAN PROCESSES. Proceedings of the 14th International Workshop on Structural Health Monitoring
- PHYSICS-INFORMED GAUSSIAN PROCESSES FOR WAVE LOADING PREDICTION. Proceedings of the 14th International Workshop on Structural Health Monitoring
- SHARING INFORMATION BETWEEN MACHINE TOOLS TO IMPROVE SURFACE FINISH FORECASTING. Proceedings of the 14th International Workshop on Structural Health Monitoring
- PARTIALLY STRUCTURED GAUSSIAN PROCESSES FOR GREY-BOX LEARNING IN SHM. Proceedings of the 14th International Workshop on Structural Health Monitoring
- Automatic selection of optimal structures for population-based structural health monitoring. Data Science in Engineering, Volume 10 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023, Vol. 10 (pp 83-93). Austin, Texas, USA, 13 February 2023 - 13 February 2023. View this article in WRRO
- A novel variational Bayesian approach to stochastic subspace identification. Eccomas Proceedia, Vol. 19796 (pp 82-93). Athens, Greece, 12 June 2023 - 12 June 2023. View this article in WRRO
- A Comparison of Structural Similarity Metrics within Population-Based Structural Health Monitoring. Structural Health Monitoring 2023 Designing Shm for Sustainability Maintainability and Reliability Proceedings of the 14th International Workshop on Structural Health Monitoring (pp 176-185)
- Physics-Constrained Transfer Learning with Bayesian Multilevel Models. Uncecomp Proceedings
- Integrating Physical Knowledge into Gaussian Process Regression Models for Probabilistic Fatigue Assessment (pp 472-481)
- Physically-informed kernels for wave loading prediction. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vol. 2022 (pp 452-457). Montreal, Canada, 8 August 2022 - 8 August 2022. View this article in WRRO
- Robust probabilistic canonical correlations for stochastic subspace identification. Proceedings of the 9th International Operational Modal Analysis Conference (IOMAC) (pp 124-132). Vancouver, Canada, 3 July 2022 - 3 July 2022. View this article in WRRO
- A spatial autoregressive approach for wake field prediction across a wind farm. European Workshop on Structural Health Monitoring EWSHM 2022, Vol. 3(270) (pp 530-540). Palermo, Italy, 4 July 2022 - 4 July 2022. View this article in WRRO
- ON IMPLEMENTING AN IRREDUCIBLE ELEMENT MODEL SCHEMA FOR POPULATION-BASED STRUCTURAL HEALTH MONITORING. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ASSESSING THE INFORMATION CONTENT OF DATASETS FOR STRUCTURAL HEALTH MONITORING. Proceedings of the 13th International Workshop on Structural Health Monitoring
- On quantifying the similarity of structures via a Graph Neural Network for population-based structural health monitoring. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 3713-3721)
- Enhanced uncertainty quantification for acoustic emission localisation. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4890-4903)
- Constraining Gaussian processes for the inclusion of boundary conditions in physics-informed structural health monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2022-August (pp 445-451)
- Bayesian canonical correlations for stochastic subspace identification. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4904-4913)
- Incorporation of partial physical knowledge within Gaussian processes. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4865-4877)
- Probabilistic numerical integration and sequential Monte Carlo for online identification of nonlinear dynamic systems. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4973-4984)
- OUTPUT-ONLY BAYESIAN SEMI-PARAMETRIC IDENTIFICATION OF A NONLINEAR DYNAMIC SYSTEM. 9th Iomac International Operational Modal Analysis Conference Proceedings (pp 156-164)
- Physics-derived covariance functions for machine learning in structural dynamics ⁎. IFAC-PapersOnLine, Vol. 54(7) (pp 168-173). Padova, Italy, 13 July 2021 - 13 July 2021. View this article in WRRO
- Bayesian localisation of acoustic emission sources for wind turbine bearings. Health Monitoring of Structural and Biological Systems XV (pp 78-78), 22 March 2021 - 27 March 2021.
- On assessing the similarity of wind turbines for population-based structural health monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure Transferring Research into Practice Shmii, Vol. 2021-June (pp 1783-1788)
- Nonlinear Gaussian process latent force models for input estimation in hysteretic systems. Uncecomp Proceedings, Vol. 2021-June
- Physics-derived covariance functions for machine learning in structural dynamics. IFAC PAPERSONLINE, Vol. 54(7) (pp 168-173)
- Towards population-based structural health monitoring, part I : homogeneous populations and forms. Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020 (pp 287-302). Houston, TX USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Real-time digital twin updating strategy based on structural health monitoring systems. Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 3 (pp 55-64). Houston, Texas, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Towards population-based structural health monitoring, part VII: EOV fields – environmental mapping. Topics in Modal Analysis & Testing. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 297-304). Houston, TX, USA, 10 February 2020 - 10 February 2020. View this article in WRRO
- Modelling of guided waves in a composite plate through a combination of physical knowledge and regression analysis. Rotating Machinery, Optical Methods & Scanning LDV Methods: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 6 (pp 109-114). Houston, Texas, 10 February 2020 - 10 February 2020. View this article in WRRO
- On decision-making for adaptive models combining physics and data. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3623-3637). Virtual Conference, Leuven, Belgium, 7 September 2020 - 7 September 2020. View this article in WRRO
- On robust equation discovery: A sparse Bayesian and Gaussian process approach. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3599-3610)
- A sparse Bayesian approach to model structure selection and parameter estimation of dynamical systems using spike-and-slab priors. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3639-3653)
- Power mapping : a wind turbine performance indicator in population-based structural health monitoring. Proceedings of ISMA2020 including USD2020 (pp 3863-3869). Leuven, Belgium, 7 September 2020 - 7 September 2020. View this article in WRRO
- A spatiotemporal dual Kalman filter for the estimation of states and distributed inputs in dynamical systems. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3591-3597)
- A grey-box model for wave loading prediction with uncertainty propagation. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3611-3622)
- Constraining Gaussian processes for grey-box acoustic emission source localisation. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 2789-2800)
- Data-driven strain prediction models and fatigue damage accumulation. Proceedings of ISMA 2020 International Conference on Noise and Vibration Engineering and Usd 2020 International Conference on Uncertainty in Structural Dynamics (pp 3667-3675)
- Gaussian processes for structural health monitoring of wind turbine blades. Proceedings, 12th International Workshop on Structural Health Monitoring(12) (pp 2744-2751). Stanford, California, USA, 10 September 2019 - 10 September 2019. View this article in WRRO
- A probabilistic framework for online structural health monitoring : active learning from machining data streams. Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning. Journal of Physics: Conference Series, Vol. 1264(1). Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- Identification of a Duffing oscillator using particle Gibbs with ancestor sampling. Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- A Gaussian process form for population-based structural health monitoring. Proceedings of the 13th International Conference on Damage Assessment of Structures. Porto, Portugal, 9 July 2019 - 9 July 2019. View this article in WRRO
- On digital twins, mirrors and virtualisations. Model Validation and Uncertainty Quantification, Volume 3, Vol. 3 (pp 285-295). Reno, NV, USA, 3 June 2019 - 3 June 2019. View this article in WRRO
- A nonlinear robust outlier detection approach for SHM. Proceedings of 8th International Operational Modal Analysis Conference (IOMAC 2019) (pp 107-114). Copenhagen, Denmark, 13 May 2019 - 13 May 2019. View this article in WRRO
- Statistical analysis of damage indicators based on ultrasonic testing with embedded piezoelectric transducers. 9th Eccomas Thematic Conference on Smart Structures and Materials Smart 2019 (pp 251-262)
- A principled multiresolution approach for signal decomposition.. Journal of Physics: Conference Series, Vol. 1106. Cambridge, United Kingdom, 2 July 2018 - 2 July 2018. View this article in WRRO
- Tool wear inspection of polycrystalline cubic boron nitride inserts. Special Topics in Structural Dynamics, Vol. 5 (pp 259-266). Orlando, Florida, USA, 12 February 2018 - 12 February 2018. View this article in WRRO
- Outlier ensembles: An alternative robust method for inclusive outlier analysis with structural health monitoring data. 9th European Workshop on Structural Health Monitoring Ewshm 2018
- A semi-supervised bayesian non-parametric approach to damage detection. 9th European Workshop on Structural Health Monitoring Ewshm 2018
- Enabling robotic adaptive behaviour capabilities for new industry 4.0 automated quality inspection paradigms. NDT 2018 57th Annual Conference of the British Institute of Non Destructive Testing (pp 28-39)
- Outlier analysis under uncertainty: Applications to structural health monitoring. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 4985-4999)
- A Bayesian filtering approach to operational modal analysis with recovery of forcing signals. Proceedings of ISMA 2018 International Conference on Noise and Vibration Engineering and Usd 2018 International Conference on Uncertainty in Structural Dynamics (pp 5181-5194)
- Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp 1-7), 27 November 2017 - 1 December 2017.
- Aspects of Computational Intelligence in Structural Dynamics: Structural Health Monitoring. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp 1677-1683)
- Experimental evaluation of environmental effects on a polymer-coated aluminium structure: a time-series analysis and pattern recognition approach. PROCEEDINGS OF ISMA2016 INCLUDING USD2016. Leuven, Belgium View this article in WRRO
- A nonlinear cointegration approach with applications to structural health monitoring. Journal of Physics: Conference Series, Vol. 744(012025). Southampton, UK View this article in WRRO
- On the usage of active learning for SHM. Proceedings of ISMA2016. Leuven, 19 September 2016 - 19 September 2016. View this article in WRRO
- Tool wear prediction and damage detection in milling using hidden Markov models. Proceedings of ISMA 2016 International Conference on Noise and Vibration Engineering and Usd2016 International Conference on Uncertainty in Structural Dynamics (pp 3391-3402)
- Data-based classifiers for identification of aircraft landing characteristics. 8th European Workshop on Structural Health Monitoring Ewshm 2016, Vol. 1 (pp 93-101)
- Removal of temperature-induced strain variations for fatigue crack growth detection in a real aeronautical structure. 8th European Workshop on Structural Health Monitoring Ewshm 2016, Vol. 2 (pp 900-909)
- Structural Health Monitoring: from Structures to Systems-of-Systems ★ ★The support of the UK Engineering and Physical Sciences Research Council (EPSRC) through grant reference numbers EP/J016942/1 and EP/K003836/2, and that of the EU Framework 7 Programme for the ITN project SYSWIND, is gratefully acknowledged.. IFAC-PapersOnLine, Vol. 48(21) (pp 1-17)
- Non-stationary models for predicting strain on aircraft landing gear from flight data measurements. 28th ICAF Symposium – Helsinki, 3–5 June 2015
- Frequency and amplitude dependent behaviour of tangled metal wire dampers. ISMA 2014, International Conference on Noise and Vibration Engineering (pp 559-572). Leuven, Belgium, 15 September 2014 - 15 September 2014. View this article in WRRO
- On Gaussian Process NARX Models and Their Higher-Order Frequency Response Functions (pp 315-335)
- Aircraft parametric structural load monitoring using Gaussian process regression. 7th European Workshop on Structural Health Monitoring Ewshm 2014 2nd European Conference of the Prognostics and Health Management Phm Society (pp 1933-1940)
- Nonlinear robust regression analysis as a means of exploring SHM data. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 513-525)
- Autoregressive Gaussian processes for structural damage detection. Proceedings of ISMA 2014 International Conference on Noise and Vibration Engineering and Usd 2014 International Conference on Uncertainty in Structural Dynamics (pp 469-483)
- An approach to fault detection using a unified linear Gaussian framework. Structural Health Monitoring 2013 A Roadmap to Intelligent Structures Proceedings of the 9th International Workshop on Structural Health Monitoring Iwshm 2013, Vol. 2 (pp 2752-2759)
- Fatigue Damage and Load Identification on Ground Vehicles Via a Linear Gaussian Framework. IWSHM 2013
- Thermal effects on the Tamar and Humber Bridge. SMAR 2013
- Order filtering of rotating machinery operational response data using wavelet packet decomposition and resampling techniques. IOMAC 2013
- Cointegration for the Removal of Environmental and Operational Effects Using a Single Sensor. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 2400-2406)
- Prediction of Landing Gear Loads from Flight Test Data Using Gaussian Process Regression. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 1452-+)
- Bayesian Regression Trees as Surrogate Models for the Health Monitoring of Civil Infrastructure. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 351-360)
- Filtering environmental load effects to enhance novelty detection on cable-supported bridge performance. Bridge Maintenance Safety Management Resilience and Sustainability Proceedings of the Sixth International Conference on Bridge Maintenance Safety and Management (pp 745-752)
- Damage detection on the NPL footbridge under changing environmental conditions. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 2 (pp 1124-1131)
- Applicability of a Markov-chain Monte Carlo method for damage detection on data from the Z-24 and Tamar suspension bridges. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 1 (pp 747-754)
- Prediction of landing gear loads using machine learning techniques. Proceedings of the 6th European Workshop Structural Health Monitoring 2012 Ewshm 2012, Vol. 2 (pp 1056-1063)
- Cointegration and why it works for SHM. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- Some recent developments in structural health monitoring. Key Engineering Materials, Vol. 518 (pp 298-318)
- Cointegration testing method for condition monitoring of nonstationary engineering systems. ICAST 2012
- Higher-order frequency response functions from Gaussian Process NARX models. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 2575-2589)
- Environmental effects on long-term behaviours of Tamar Suspension Bridge. SHMII-5 2011. Cancun
- Nonlinear Cointegration as a Combinatorial Optimisation Problem. STRUCTURAL HEALTH MONITORING 2011: CONDITION-BASED MAINTENANCE AND INTELLIGENT STRUCTURES, VOL 1 (pp 87-94)
- Cointegration and Nonstationarity in the Context of Multiresolution Analysis. 9TH INTERNATIONAL CONFERENCE ON DAMAGE ASSESSMENT OF STRUCTURES (DAMAS 2011), Vol. 305
- Approaches to nonlinear cointegration with a view towards applications in SHM. Journal of Physics Conference Series, Vol. 305(1)
- Input estimation from measured structural response. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3(PART 1) (pp 689-708)
- Cointegration for the removal of environmental trends in SHM data. 11th International Conference on Structural Engineering Dynamics
- Cointegration and SHM of Bridges. STRUCTURAL HEALTH MONITORING 2011: CONDITION-BASED MAINTENANCE AND INTELLIGENT STRUCTURES, VOL 1 (pp 63-+)
- Cointegration and SHM of bridges. Structural Health Monitoring 2011: Condition Based Maintenance and Intelligent Structures (pp 63-71). Stanford, California, September 2011.
- Environmental effects on longterm behaviours of Tamar Suspension Bridge. Shmii 5 2011 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure
- Modelling environmental effects on the dynamic characteristics of the Tamar suspension bridge. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 5 (pp 21-32)
- An approach to nonlinear cointegration with a view towards SHM. Proceedings of the 5th European Workshop Structural Health Monitoring 2010 (pp 875-881)
- Long-term structural health monitoring for Tamar Suspension Bridge. Bridge Maintenance Safety Management and Life Cycle Optimization Proceedings of the 5th International Conference on Bridge Maintenance Safety and Management (pp 348-355)
- Long-term monitoring and data analysis of the Tamar Bridge. ISMA 2010
- An approach to nonlinear cointegration with application to structural health monitoring data. EWSHM 2010
- Long-term Structural Health Monitoring for Tamar Suspension Bridge. IABMAS 2010
- A tutorial on Cointegration for engineers - a tool for non-stationary time series analysis. 10th International Conference on Recent Advances in Structural Dynamics
- Long-term monitoring and data analysis of the Tamar Bridge. PROCEEDINGS OF ISMA2010 INCLUDING USD2010 (pp 1345-1358). Leuven, Belgium, 20 September 2010 - 22 September 2010.
- Thermal effects on performance on Tamar Bridge. Structural Health Monitoring of Intelligent Infrastructure Proceedings of the 4th International Conference on Structural Health Monitoring of Intelligent Infrastructure Shmii 2009
- Approximation of the Duffing oscillator frequency response function using the FPK equation. Journal of Physics Conference Series, Vol. 181(1)
- Elimination of long-term trends in SHM data using cointegration. IWSHM 2009
- Approximation of the Duffing oscillator frequency response function using the FPK equation. 7th International Conference on Modern Practices in Stress and Vibration Analysis
- Damage-informed cost functions for improving data-driven fatigue prediction. e-Journal of Nondestructive Testing, Vol. 29(7)
- A Compressed Sensing Approach to Operational Modal Analysis Using Phase-Based Video Motion Magnification. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Grey-box Modelling for Structural Health Monitoring: Physical Constraints on Machine Learning Algorithms. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Output-only Identification of Loading and Modal Parameters in Dynamic Systems with Non-Gaussian Inputs. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Online Damage State Clustering of Cutting Tools Using Dirichlet Process Mixture Models. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Assessing the Likelihood of Damage at the Start of a Structural Health Monitoring Campaign. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Compressive Sensing for Direct Time of Flight Estimation in Ultrasound-based NDT. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- On the Choice of Optimisation Scheme for Gaussian Process Hyperparameters in SHM Problems. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Clustering-based Crack Growth Characterisation using Synchronised Vibration and Acoustic Emission Measurements. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- A Time Series Decomposition Method For Heteroskedastic Data In Structural Health Monitoring. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- Is it worth changing pattern recognition methods for structural health monitoring?. Journal of Physics: Conference Series, Vol. 842(1). Kitakyushu, Japan, 10 July 2017 - 10 July 2017. View this article in WRRO
Other
- A report on the 6th European Conference on Structural Control. Structural Control and Health Monitoring, 24(1), e1970-e1970. View this article in WRRO
Preprints
- Active learning for regression in engineering populations: A risk-informed approach, arXiv.
- Population-based wind farm monitoring based on a spatial autoregressive approach, arXiv.
- Sharing Information Between Machine Tools to Improve Surface Finish Forecasting, arXiv.
- A spectrum of physics-informed Gaussian processes for regression in engineering, arXiv.
- Meta-models for transfer learning in source localisation, arXiv.
- A topological analysis of cointegrated data: a Z24 Bridge case study, arXiv.
- Physics-informed machine learning for Structural Health Monitoring, arXiv.
- Constraining Gaussian processes for physics-informed acoustic emission mapping, arXiv.
- Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv.
- Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring, arXiv.
- Grey-box models for wave loading prediction, arXiv.
- Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data, arXiv.
- Damage detection in operational wind turbine blades using a new approach based on machine learning, arXiv.
- Structured Machine Learning Tools for Modelling Characteristics of Guided Waves, arXiv.
- A Bayesian methodology for localising acoustic emission sources in complex structures, arXiv.
- On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression, arXiv.
- Hierarchical Gaussian processes for characterizing gait variability in multiple sclerosis. Data-Centric Engineering, 6. View this article in WRRO