Professor Nikolaos Dervilis
BSc, MSc, PhD
School of Mechanical, Aerospace and Civil Engineering
Director of Research and Innovation of the School of Mechanical, Aerospace and Civil Engineering
+44 114 222 7816
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Room D224, Central Wing
Sir Frederick Mappin Building
Mappin Street
91Ö±²¥
S1 3JD
- Profile
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Nikolaos Dervilis is a Professor in the Department of Mechanical Engineering at the University of 91Ö±²¥ and a member of the Dynamics Research Group (DRG). He studied physics in the National and Kapodistrian University of Athens. Later, he obtained his MSc in Sustainable and Renewable Energy Systems from the University of Edinburgh in the Department of Electronics and Electrical Engineering. He obtained his PhD from the University of 91Ö±²¥, Mechanical Engineering Department in the field of machine learning for Structural Health Monitoring (SHM). His expertise focuses on SHM, pattern recognition, data analysis and nonlinear dynamics. He is especially engaged with renewable energy research, particularly wind turbine farms.
- Research interests
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Nikolaos’s current research interests include:
- Structural Health Monitoring (SHM): machine learning and pattern recognition techniques for data analysis, structural damage characterisation and non-destructive evaluation methods.
- Onshore and offshore wind farms, sustainable energy systems.
- Data analysis and information learning tools.
- Nonlinear dynamics and advanced signal processing.
- Publications
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Journal articles
- . Data-Centric Engineering, 5.
- . Journal of Physics: Conference Series, 2647(18).
- . Journal of Physics: Conference Series, 2647(19), 192023-192023.
- . Scientific Reports, 14(1), 6091.
- . Data-Centric Engineering, 5.
- . Mechanical Systems and Signal Processing, 209, 111119-111119.
- . Mechanical Systems and Signal Processing, 208, 110958-110958.
- . Mechanical Systems and Signal Processing, 208, 111072-111072.
- . Mechanical Systems and Signal Processing, 200, 110581-110581.
- . Mechanical Systems and Signal Processing, 196, 110300-110300.
- . Structural Health Monitoring.
- . Mechanical Systems and Signal Processing, 188, 109971-109971.
- . Frontiers in Energy Research, 11.
- . Sensors, 23(1).
- . Mechanical Systems and Signal Processing, 181, 109510-109510.
- . Mechanical Systems and Signal Processing, 181, 109502-109502.
- . Journal of Sound and Vibration, 538, 117227-117227.
- . ASME Open Journal of Engineering, 1.
- . Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262).
- . Journal of Sound and Vibration.
- . Mechanical Systems and Signal Processing, 167(Part B).
- . Mechanical Systems and Signal Processing, 166, 108473-108473.
- . Mechanical Systems and Signal Processing, 172.
- . Wind Energy.
- . Mechanical Systems and Signal Processing, 164.
- . Ultrasonics.
- . Mechanical Systems and Signal Processing.
- . Data-Centric Engineering, 2.
- . Mechanical Systems and Signal Processing, 157.
- . Journal of Engineering Mechanics, 147(10).
- . Mechanical Systems and Signal Processing, 156.
- . Journal of Sound and Vibration, 501.
- . Journal of Sound and Vibration, 116245-116245.
- . Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 095440542110196.
- . Mechanical Systems and Signal Processing, 150, 107339-107339.
- . ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1).
- . Mechanical Systems and Signal Processing, 149.
- . Mechanical Systems and Signal Processing, 148.
- . Mechanical Systems and Signal Processing, 148.
- . IFAC-PapersOnLine, 54(7), 655-660.
- . Journal of Medical Systems, 44(11).
- . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2182), 20190581-20190581.
- . Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.
- . Mechanical Systems and Signal Processing, 140.
- . Renewable Energy, 148, 1124-1136.
- . Renewable Energy.
- . Mechanical Systems and Signal Processing, 134.
- . Journal of Sound and Vibration, 458, 347-348.
- . Mechanical Systems and Signal Processing, 122, 364-386.
- . Journal of Sound and Vibration.
- . Mechanical Systems and Signal Processing, 119, 100-119.
- . Journal of Sound and Vibration, 437, 373-388.
- . Mechanical Systems and Signal Processing, 112, 194-232.
- . Strain: an international journal for experimental mechanics.
- . Mechanical Systems and Signal Processing, 99, 306-325.
- . Renewable Energy, 113, 1490-1502.
- . Frontiers in Built Environment, 3.
- . Progress in Aerospace Sciences, 90, 1-11.
- . International Journal of Sustainable Materials and Structural Systems.
- . Strain, 51(4), 324-331.
- . Journal of Sound and Vibration, 347, 279-296.
- . IEEE Transactions on Industrial Electronics, 62(10), 6636-6644.
- . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2035), 20140075-20140075.
- . JOURNAL OF SOUND AND VIBRATION, 333(20), 5181-5195.
- . Applied Mechanics and Materials, 564, 170-175.
- . Applied Mechanics and Materials, 564, 164-169.
- . Key Engineering Materials, 588, 43-53.
- . Key Engineering Materials, 588, 166-174.
- . JOURNAL OF SOUND AND VIBRATION, 333(6), 1833-1850.
- . Key Engineering Materials, 569-570, 547-554.
- . Key Engineering Materials, 569-570, 1109-1115.
- Condition monitoring of a wind turbine gearbox using the empirical mode decomposition method and outlier analysis. Proceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012, 2, 1316-1323.
- . e-Journal of Nondestructive Testing, 29(7).
- . e-Journal of Nondestructive Testing, 29(7).
- . Wind Energy.
- . Water Resources Research.
- . Structural Health Monitoring, 147592172211104-147592172211104.
- . Journal of Civil Structural Health Monitoring.
- A Bayesian Approach for Shaft Centre Localisation in Journal Bearings. Mechanical Systems and Signal Processing.
- . Mechanical Systems and Signal Processing, 145.
- . Frontiers in Built Environment, 6.
- Equation discovery for nonlinear dynamical systems: a Bayesian viewpoint. Mechanical Systems and Signal Processing.
- On risk-based active learning for structural health monitoring.
Chapters
- , Conference Proceedings of the Society for Experimental Mechanics Series (pp. 59-68). Springer Nature Switzerland
- , Conference Proceedings of the Society for Experimental Mechanics Series (pp. 19-31). Springer Nature Switzerland
- , Conference Proceedings of the Society for Experimental Mechanics Series (pp. 85-91). Springer Nature Switzerland
- , Lecture Notes in Civil Engineering (pp. 606-614). Springer Nature Switzerland
- , Conference Proceedings of the Society for Experimental Mechanics Series (pp. 125-135). Springer Nature Switzerland
- , Data Driven Methods for Civil Structural Health Monitoring and Resilience (pp. 120-180). CRC Press
- , Data Science in Engineering, Volume 10 (pp. 63-71). Springer Nature Switzerland
- , Data Science in Engineering, Volume 10 (pp. 73-81). Springer Nature Switzerland
- , Lecture Notes in Civil Engineering (pp. 1095-1106). Springer International Publishing
- , Nonlinear Structures & Systems, Volume 1 (pp. 135-147). Springer International Publishing
- , Nonlinear Structures & Systems, Volume 1 (pp. 165-175). Springer International Publishing
- , Topics in Modal Analysis & Parameter Identification, Volume 8 (pp. 45-57). Springer International Publishing
- , Nonlinear Structures & Systems, Volume 1 (pp. 297-300). Springer International Publishing
- , Data Science in Engineering, Volume 9 (pp. 143-156). Springer International Publishing
- , Handbook of Experimental Structural Dynamics (pp. 989-1061). Springer New York
- , Structural Integrity (pp. 389-411). Springer International Publishing
- , Structural Integrity (pp. 413-435). Springer International Publishing
- , Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- , Data Science in Engineering, Volume 9 (pp. 169-184). Springer International Publishing
- , Data Science in Engineering, Volume 9 (pp. 35-46). Springer International Publishing
- , Data Science in Engineering, Volume 9 (pp. 47-63). Springer International Publishing
- , Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 (pp. 167-181). Springer International Publishing
- , Data Science in Engineering, Volume 9 (pp. 199-211).
- , Lecture Notes in Civil Engineering (pp. 415-426). Springer International Publishing
- , Topics in Modal Analysis & Testing, Volume 8 (pp. 41-50). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 187-199). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 287-302). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 209-215). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 237-246). Springer International Publishing
- , Handbook of Experimental Structural Dynamics (pp. 1-72).
- , Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). Springer International Publishing
Conference proceedings papers
- Decoupling nonlinear normal modes using normalising flows. Proceedings of the 42nd International Modal Analysis Conference
- Cost-informed dimensionality reduction for structural digital twin technologies. Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp 4529-4542)
- Towards an active-learning approach to resource allocation for population-based damage prognosis. Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp 3343-3353)
- (pp 81-91)
- (pp 19-25)
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- (pp 43-52)
- (pp 95-103)
- (pp 53-61)
- Hierarchical Bayes for population-based modelling of FRFs with temperature variation. Proceedings of the XII International Conference on Structural Dynamics
- (pp 139-149)
- (pp 408-418)
- Semi-supervised risk-based active learning using inspection and maintenance information. Proceedings of ISMA 2022-International Conference on Noise and Vibration Engineering and USD 2022-International Conference on Uncertainty in Structural Dynamics
- On the Application of Variational Auto Encoders (VAE) for Damage Detection in Rolling Element Bearings. Proceedings of the Thirteenth International Workshop on Structural Health Monitoring, IWSHM 2021 (pp 388-397). Lancaster, PA,. USA, 15 March 2022 - 17 March 2022.
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- (pp 95-108)
- (pp 135-149)
- . Conference Proceedings of the Society for Experimental Mechanics Series (pp 81-89)
- A comparison of kernel and deep domain adaptation methods for SHM. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 3662-3670)
- Virtual sensing for SHM: a comparison between Kalman filters and Gaussian processes. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 3792-3803)
- On higher-order frequency response functions from kernel-NARX methods. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 2301-2315)
- Bayesian identification of material properties for a fibre-composite plate, via dispersion curves. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 1866-1874)
- A nonparametric Bayesian approach for the detection of acoustic emission events in time series signals. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4777-4787)
- Investigating the effects of temperature variation in vibration-based SHM. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 3620-3628)
- Investigating experimental repeatability and feature consistency in vibration-based SHM using nominally-identical helicopter blades. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, Vol. 2022-August (pp 165-169)
- . Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (pp 87-98). Virtual conference, 8 February 2021 - 11 February 2021.
- . Data Science in Engineering, Volume 9 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (pp 75-86). Virtual conference, 8 February 2021 - 11 February 2021.
- . Health Monitoring of Structural and Biological Systems XV, 22 March 2021 - 27 March 2021.
- On Domain-Adapted Gaussian Mixture Models for Population-Based Structural Health Monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, Vol. 2021-June (pp 663-670)
- Automated Feature Extraction for Damage Detection: A Pseudo-fault Framework for Population-based SHM. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, Vol. 2021-June (pp 655-661)
- . EURODYN 2020 - XI International Conference on Structural Dynamics, Proceedings, Vol. II (pp 3865-3877). Athens, Greece, 23 November 2020 - 26 November 2020.
- . Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Vol. 8 (pp 177-187). Houston, TX, USA, 10 February 2020 - 13 February 2020.
- (pp 109-114)
- Towards population-based structural health monitoring, Part III: Graphs, networks and communities. Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics
- Lamb wave mode separation using dispersion curves. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 2891-2898)
- Preface. Conference Proceedings of the Society for Experimental Mechanics Series (pp v)
- . XI International Conference on Structural Dynamics, 23 November 2020 - 26 November 2020.
- . XI International Conference on Structural Dynamics, 23 November 2020 - 26 November 2020.
- Uncertainty quantification framework for structural model of wind turbine blades. Proceedings of the International Conference on Structural Dynamic , EURODYN, Vol. 2 (pp 3911-3920)
- On the quantification of structural uncertainties of blades and their effect on wind turbine loads. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3853-3862)
- . Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- . Journal of Physics: Conference Series, Vol. 1264(1). Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- A nonlinear robust outlier detection approach for SHM. 8th IOMAC - International Operational Modal Analysis Conference, Proceedings (pp 107-114)
- (pp 141-151)
- (pp 157-159)
- 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)
- . Journal of Physics: Conference Series, Vol. 1106(1), 2 July 2018 - 4 July 2018.
- 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
- Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data. Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 (pp 3053-3062)
- 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)
- On the use of pseudo-damage to represent damage to structures in population-based 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 3709-3722)
- ABC-NS: a new computational inference method applied to parameter estimation and model selection in structural dynamics. 23 Congrès Français de Mécanique, 1 September 2017.
- . Journal of Physics: Conference Series, Vol. 842
- . 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)
- (pp 119-129)
- (pp 179-188)
- Preface. Conference Proceedings of the Society for Experimental Mechanics Series (pp v)
- Identification of nonlinear dynamical systems using approximate Bayesian computation based on a sequential Monte Carlo sampler. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 2551-2565)
- An exploratory study of the suitability of a wind turbine blade as a nonlinear demonstrator. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 4069-4080)
- 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)
- (pp 145-153)
- (pp 321-326)
- (pp 315-320)
- 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)
- . IFAC-PapersOnLine, Vol. 48(21) (pp 1-17)
- Wind turbine structural health monitoring: A short investigation based on SCADA data. 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society (pp 512-519)
- Nonlinear modal analysis using pattern recognition. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 3017-3028)
- 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)
- Auto-Association and Novelty Detection: Truths and Myths?. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 243-250)
- Impact damage detection for composite material typical of wind turbine blades using novelty detection. Proceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012, Vol. 2 (pp 1287-1296)
- . Key Engineering Materials, Vol. 518 (pp 319-327)
- . MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- Use of the Teager-Kaiser energy operator for condition monitoring of a wind turbine gearbox. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012) (pp 4255-4268)
- . Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8343
- . Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8348
- Transfer learning via intermediate structures. Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024). Potsdam, Germany, 10 June 2024 - 10 June 2024.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2015
- . Structural Health Monitoring 2015
- A Gaussian Process Form for Population-Based Structural Health Monitoring. DAMAS 2019
- . Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- A risk-based active learning approach to inspection scheduling. Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Presentations
Preprints
- Towards an active-learning approach to resource allocation for population-based damage prognosis, arXiv.
- Cost-informed dimensionality reduction for structural digital twin technologies, arXiv.
- Active learning for regression in engineering populations: A risk-informed approach, arXiv.
- Multitask learning for improved scour detection: A dynamic wave tank study.
- , arXiv.
- Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling.
- Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems, arXiv.
- , arXiv.
- , arXiv.
- Towards a population-informed approach to the definition of data-driven models for structural dynamics, arXiv.
- A decision framework for selecting information-transfer strategies in population-based SHM, arXiv.
- On the hierarchical Bayesian modelling of frequency response functions.
- , arXiv.
- , arXiv.
- , arXiv.
- A Meta-Learning Approach to Population-Based Modelling of Structures.
- , Elsevier BV.
- On the application of the generating series for nonlinear systems with polynomial stiffness, arXiv.
- On topological data analysis for structural dynamics: an introduction to persistent homology, arXiv.
- On the application of topological data analysis: a Z24 Bridge case study.
- , arXiv.
- , arXiv.
- On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation.
- Mitigating sampling bias in risk-based active learning via an EM algorithm.
- Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers.
- A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes.
- On statistic alignment for domain adaptation in structural health monitoring.
- Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals.
- A Bayesian Approach for Shaft Centre Localisation in Journal Bearings.
- Modelling variability in vibration-based PBSHM via a generalised population form, arXiv.
- On generative models as the basis for digital twins, arXiv.
- On partitioning of an SHM problem and parallels with transfer learning.
- On generating parametrised structural data using conditional generative adversarial networks.
- On an application of graph neural networks in population based SHM.
- Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks.
- On the application of generative adversarial networks for nonlinear modal analysis.
- On robust risk-based active-learning algorithms for enhanced decision support, arXiv.
- Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv.
- Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks, arXiv.
- On risk-based active learning for structural health monitoring, arXiv.
- Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces, 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 probabilistic risk-based decision framework for structural health monitoring, arXiv.
- On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling, arXiv.
- .