Professor Elizabeth Cross
Department of Mechanical Engineering
Head of Department
EPSRC Innovation Fellow
e.j.cross@sheffield.ac.uk
+44 114 222 7846
+44 114 222 7846
+44 114 222 7712
(PA: Jules Fryer)
D240, Sir Frederick Mappin Building
Full contact details
Professor Elizabeth Cross
Department of Mechanical Engineering
D240
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
Department of Mechanical 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
- A probabilistic approach for acoustic emission based monitoring techniques: With application to structural health monitoring. Mechanical Systems and Signal Processing, 208, 110958-110958.
- Identification of piecewise-linear mechanical oscillators via Bayesian model selection and parameter estimation. Mechanical Systems and Signal Processing, 196, 110300-110300.
- Constraining Gaussian processes for physics-informed acoustic emission mapping. Mechanical Systems and Signal Processing, 188, 109984-109984.
- Online damage detection of cutting tools using Dirichlet process mixture models. Mechanical Systems and Signal Processing, 180, 109434-109434.
- A sampling-based approach for information-theoretic inspection management. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262).
- Bayesian modelling of multivalued power curves from an operational wind farm. Mechanical Systems and Signal Processing, 108530-108530.
- 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
- 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), 03120003-03120003.
- 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.
- Damage detection in operational wind turbine blades using a new approach based on machine learning. Renewable Energy. 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), 20190581-20190581.
- 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
- 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. 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. View this article in WRRO
- Probabilistic active learning : an online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134. 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
- Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data. Journal of Sound and Vibration. 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
- 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
- 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
- Robust methods for outlier detection and regression for SHM applications.. International Journal of Sustainable Materials and Structural Systems. 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, 51(4), 324-331. 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, 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.
- Linear approaches to modeling nonlinearities in long-term monitoring of bridges. Journal of Civil Structural Health Monitoring, 3(3), 187-194.
- Long-term monitoring and data analysis of the Tamar Bridge. Mechanical Systems and Signal Processing, 35(1-2), 16-34.
- Cointegration and the empirical mode decomposition for the analysis of diagnostic data. Key Engineering Materials, 569-570, 884-891.
- 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. View this article in WRRO
- 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.
- Measuring data similarity in population-based structural health monitoring using distance metrics. Structural Health Monitoring.
- Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge. Sensors, 23(14), 6328-6328.
- Autonomous ultrasonic inspection using bayesian optimisation and robust outlier analysis. Mechanical Systems and Signal Processing, 145. View this article in WRRO
- Bayesian Joint Input-State Estimation for Nonlinear Systems. Vibration, 3(3), 281-303.
- A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring. Frontiers in Built Environment, 6.
Chapters
- Physical Covariance Functions for Dynamic Systems with Time-Dependent Parameters, Lecture Notes in Civil Engineering (pp. 381-391). Springer International Publishing
- Rapid Assessment of Offshore Monopile Fatigue Using Machine Learning, Lecture Notes in Civil Engineering (pp. 101-112). 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
- 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
- Investigating Engineering Data by Probabilistic Measures, Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). Springer International Publishing
- On Stationarity and the Interpretation of the ADF Statistic, Conference Proceedings of the Society for Experimental Mechanics Series (pp. 29-38). Springer International Publishing
- State-of-the-Art and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Conference Proceedings of the Society for Experimental Mechanics Series (pp. 223-233). Springer International Publishing
- 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 papers
- A spatial autoregressive approach for wake field prediction across a wind farm. European Workshop on Structural Health Monitoring EWSHM 2022, Vol. 3 (pp 530-540). Palermo, Italy, 4 July 2022 - 7 July 2022.
- Modelling of Guided Waves in a Composite Plate Through a Combination of Physical Knowledge and Regression Analysis (pp 109-114)
- Towards population-based structural health monitoring, Part VII: EoV fields: environmental mapping. Conference Proceedings of the Society for Experimental Mechanics Series 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. View this article in WRRO
- 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. View this article in WRRO
- 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. 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 - 6 June 2019. View this article in WRRO
- A nonlinear robust outlier detection approach for SHM. 8th IOMAC - International Operational Modal Analysis Conference, Proceedings (pp 107-114) 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(1), 2 July 2018 - 4 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 - 15 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)
- Is it worth changing pattern recognition methods for structural health monitoring?. Journal of Physics: Conference Series, Vol. 842 View this article in WRRO
- On a Grey Box Modelling Framework for Nonlinear System Identification (pp 167-178)
- Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 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)
- In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves (pp 179-188)
- An Exploratory Study on Removing Environmental and Operational Effects Using a Regime-Switching Cointegration Method (pp 329-337)
- On the choice of optimisation scheme for Gaussian process hyperparameters in SHM problems. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, Vol. 2 (pp 2103-2111)
- Identification of Nonlinear Wave Forces Using Gaussian Process NARX Models (pp 203-221)
- A nonlinear cointegration approach with applications to structural health monitoring. Journal of Physics: Conference Series, Vol. 744 (pp 012025-012025) View this article in WRRO
- On the usage of active learning for SHM. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 4033-4043) 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)
- Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes (pp 145-153)
- Experimental evaluation of environmental effects on a polymer-coated aluminium structure: A time-series analysis and pattern recognition approach. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 3295-3307) View this article in WRRO
- 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. 34th ICAF Conference and 28th ICAF Symposium, ICAF 2015, Vol. 1 (pp 162-172)
- 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)
- Frequency and amplitude dependent behaviour of tangled metal wire dampers. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 559-572) View this article in WRRO
- 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)
- Cointegration testing method for condition monitoring of nonstationary engineering systems. ICAST 2012
- 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)
- 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)
- 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)
- Some recent developments in structural health monitoring. Key Engineering Materials, Vol. 518 (pp 298-318)
- Cointegration and why it works for SHM. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- Cointegration for the removal of environmental trends in SHM data. 11th International Conference on Structural Engineering Dynamics
- Cointegration and Nonstationarity in the Context of Multiresolution Analysis. 9TH INTERNATIONAL CONFERENCE ON DAMAGE ASSESSMENT OF STRUCTURES (DAMAS 2011), Vol. 305
- 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 SHM of Bridges. STRUCTURAL HEALTH MONITORING 2011: CONDITION-BASED MAINTENANCE AND INTELLIGENT STRUCTURES, VOL 1 (pp 63-+)
- Input estimation from measured structural response. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3(PART 1) (pp 689-708)
- Approaches to nonlinear cointegration with a view towards applications in SHM. Journal of Physics: Conference Series, Vol. 305(1)
- Cointegration and SHM of bridges. Structural Health Monitoring 2011: Condition Based Maintenance and Intelligent Structures (pp 63-71). Stanford, California, September 2011.
- 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)
- 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
- 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 monitoring and data analysis of the Tamar Bridge. PROCEEDINGS OF ISMA2010 INCLUDING USD2010 (pp 1345-1358). Leuven, Belgium, 20 September 2010 - 22 September 2010.
- 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
- 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)
- Gaussian Processes for Structural Health Monitoring of Wind Turbine Blades. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018. View this article in WRRO
- 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.
- 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.
- A Gaussian Process Form for Population-Based Structural Health Monitoring. DAMAS 2019 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
- A probabilistic approach for acoustic emission based monitoring techniques: With application to structural health monitoring. Mechanical Systems and Signal Processing, 208, 110958-110958.