Professor Nikolaos Dervilis
BSc, MSc, PhD
School of Mechanical, Aerospace and Civil Engineering
School of Mechanical, Aerospace and Civil Engineering
Professor
![Dr Nikolaos Dervilis](http://cdn.sheffield.ac.uk/sites/default/files/styles/profile_square_lg_1x/public/2020-07/Dr_Nikolaos_Dervilis.jpg?h=a6aa1fcb&itok=nlBoUpVd)
![Profile picture of Dr Nikolaos Dervilis](http://cdn.sheffield.ac.uk/sites/default/files/styles/profile_modal/public/2020-07/Dr_Nikolaos_Dervilis.jpg?h=a6aa1fcb&itok=cgk18wtE)
+44 114 222 7816
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Room D224, Central Wing
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
-
Nikolaos Dervilis is a Professor in the Department of Mechanical Engineering at the University of Sheffield 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 Sheffield, 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
-
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
-
Journal articles
- An application of domain adaptation for population-based structural health monitoring. Journal of Physics: Conference Series, 2647(18). View this article in WRRO
- Convolution models for output only linear structural system identification and the problem of identifiability.. Journal of Physics: Conference Series, 2647(19), 192023-192023.
- VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems. Scientific Reports, 14(1), 6091.
- Multitask feature selection within structural datasets. Data-Centric Engineering, 5.
- On a meta-learning population-based approach to damage prognosis. Mechanical Systems and Signal Processing, 209, 111119-111119.
- A probabilistic approach for acoustic emission based monitoring techniques: With application to structural health monitoring. Mechanical Systems and Signal Processing, 208, 110958-110958.
- On the hierarchical Bayesian modelling of frequency response functions. Mechanical Systems and Signal Processing, 208, 111072-111072.
- Towards a population-informed approach to the definition of data-driven models for structural dynamics. Mechanical Systems and Signal Processing, 200, 110581-110581.
- Identification of piecewise-linear mechanical oscillators via Bayesian model selection and parameter estimation. Mechanical Systems and Signal Processing, 196, 110300-110300.
- A full-scale wind turbine blade monitoring campaign: detection of damage initiation and progression using medium-frequency active vibrations. Structural Health Monitoring.
- A time-evolving digital twin tool for engineering dynamics applications. Mechanical Systems and Signal Processing, 188, 109971-109971.
- Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme. Frontiers in Energy Research, 11.
- A Bayesian method for material identification of composite plates via dispersion curves. Sensors, 23(1).
- On the dynamic properties of statistically-independent nonlinear normal modes. Mechanical Systems and Signal Processing, 181, 109510-109510.
- On robust risk-based active-learning algorithms for enhanced decision support. Mechanical Systems and Signal Processing, 181, 109502-109502.
- Modelling variability in vibration-based PBSHM via a generalised population form. Journal of Sound and Vibration, 538, 117227-117227.
- On Topological Data Analysis for Structural Dynamics: An Introduction to Persistent Homology. ASME Open Journal of Engineering, 1.
- A sampling-based approach for information-theoretic inspection management. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262).
- Informative bayesian tools for damage localisation by decomposition of Lamb wave signals. Journal of Sound and Vibration. View this article in WRRO
- On the application of kernelised Bayesian transfer learning to population-based structural health monitoring. Mechanical Systems and Signal Processing, 167(Part B).
- On the application of generative adversarial networks for nonlinear modal analysis. Mechanical Systems and Signal Processing, 166, 108473-108473.
- A population-based SHM methodology for heterogeneous structures : transferring damage localisation knowledge between different aircraft wings. Mechanical Systems and Signal Processing, 172. View this article in WRRO
- Impact of blade structural and aerodynamic uncertainties on wind turbine loads. Wind Energy.
- Error motion trajectory-driven diagnostics of kinematic and non-kinematic machine tool faults. Mechanical Systems and Signal Processing, 164. View this article in WRRO
- Predicting local material thickness from steady-state ultrasonic wavefield measurements using a convolutional neural network. Ultrasonics.
- Bayesian modelling of multivalued power curves from an operational wind farm. Mechanical Systems and Signal Processing.
- On generative models as the basis for digital twins. Data-Centric Engineering, 2.
- Foundations of population-based SHM, Part IV : the geometry of spaces of structures and their feature spaces. Mechanical Systems and Signal Processing, 157.
- Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks. Journal of Engineering Mechanics, 147(10).
- Structured machine learning tools for modelling characteristics of guided waves. Mechanical Systems and Signal Processing, 156. View this article in WRRO
- On the transfer of damage detectors between structures: an experimental case study. Journal of Sound and Vibration, 501.
- Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning. Journal of Sound and Vibration, 116245-116245.
- Comparing approaches for multi-axis kinematic positioning in machine tools. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 095440542110196.
- A probabilistic risk-based decision framework for structural health monitoring. Mechanical Systems and Signal Processing, 150, 107339-107339.
- 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 III : heterogeneous populations – mapping and transfer. Mechanical Systems and Signal Processing, 149. View this article in WRRO
- Foundations of population-based SHM, part II : heterogeneous populations – graphs, networks, and communities. Mechanical Systems and Signal Processing, 148. 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
- Normalising Flows and Nonlinear Normal Modes. IFAC-PapersOnLine, 54(7), 655-660.
- Towards the probabilistic analysis of small bowel capsule endoscopy features to predict severity of duodenal histology in patients with villous atrophy. Journal of Medical Systems, 44(11).
- 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.
- Machining centre performance monitoring with calibrated artefact probing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.
- Towards semi-supervised and probabilistic classification in structural health monitoring. 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
- Damage detection in operational wind turbine blades using a new approach based on machine learning. Renewable Energy.
- Probabilistic active learning : an online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134. View this article in WRRO
- Book Review. Journal of Sound and Vibration, 458, 347-348.
- Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation. Mechanical Systems and Signal Processing, 122, 364-386. 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 Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring. Mechanical Systems and Signal Processing, 119, 100-119. View this article in WRRO
- Active learning for semi-supervised structural health monitoring. Journal of Sound and Vibration, 437, 373-388. 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
- Nonlinear modal analysis via non-parametric machine
learning tools.. Strain: an international journal for experimental mechanics. View this article in WRRO
- Model selection and parameter estimation in structural dynamics using approximate Bayesian computation. Mechanical Systems and Signal Processing, 99, 306-325. View this article in WRRO
- Performance monitoring of a wind turbine using extreme function theory. Renewable Energy, 113, 1490-1502. View this article in WRRO
- Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo. Frontiers in Built Environment, 3. View this article in WRRO
- A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview. Progress in Aerospace Sciences, 90, 1-11. 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
- 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
- A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm. IEEE Transactions on Industrial Electronics, 62(10), 6636-6644. View this article in WRRO
- Aspects of structural health and condition monitoring of offshore wind turbines. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2035), 20140075-20140075. View this article in WRRO
- Robust methods of inclusive outlier analysis for structural health monitoring. JOURNAL OF SOUND AND VIBRATION, 333(20), 5181-5195.
- Envelope analysis using the Teager-Kaiser Energy operator for condition monitoring of a wind turbine bearing. Applied Mechanics and Materials, 564, 170-175.
- An SHM view of a CFD model of Lillgrund wind farm. Applied Mechanics and Materials, 564, 164-169.
- Damage detection in RAPTOR telescope systems using time-frequency analysis methods. Key Engineering Materials, 588, 43-53.
- Machine learning applications for a wind turbine blade under continuous fatigue loading. Key Engineering Materials, 588, 166-174.
- On damage diagnosis for a wind turbine blade using pattern recognition. JOURNAL OF SOUND AND VIBRATION, 333(6), 1833-1850.
- Advanced tools for damage detection in wind turbines. Key Engineering Materials, 569-570, 547-554.
- Comparative study of robust novelty detection techniques. Key Engineering Materials, 569-570, 1109-1115.
- Active transfer learning for SHM of bridges under changing environmental conditions. e-Journal of Nondestructive Testing, 29(7).
- A spin on active learning analysis for health monitoring.. e-Journal of Nondestructive Testing, 29(7).
- Feasibility study on a full‐scale wind turbine blade monitoring campaign: Comparing performance and robustness of features extracted from medium‐frequency active vibrations. Wind Energy.
- Using Non‐contact Measurement of Water Surface Dynamics to Estimate River Discharge. Water Resources Research.
- On statistic alignment for domain adaptation in structural health monitoring. Structural Health Monitoring, 147592172211104-147592172211104.
- Domain-adapted Gaussian mixture models for population-based structural health monitoring. Journal of Civil Structural Health Monitoring.
- Autonomous ultrasonic inspection using bayesian optimisation and robust outlier analysis. Mechanical Systems and Signal Processing, 145. View this article in WRRO
- A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring. Frontiers in Built Environment, 6.
Chapters
- On Additive Gaussian Processes for Wind Farm Power Prediction, Lecture Notes in Civil Engineering (pp. 606-614). Springer Nature Switzerland
- Data-Centric Monitoring of Wind Farms, Data Driven Methods for Civil Structural Health Monitoring and Resilience (pp. 120-180). CRC Press
- A Meta-Learning Approach to Population-Based Modelling of Structures, Data Science in Engineering, Volume 10 (pp. 63-71). Springer Nature Switzerland
- Towards Physics-Based Metrics for Transfer Learning in Dynamics, Data Science in Engineering, Volume 10 (pp. 73-81). Springer Nature Switzerland
- A Topological Analysis of Cointegrated Data: A Z24 Bridge Case Study, Lecture Notes in Civil Engineering (pp. 1095-1106). Springer International Publishing
- On Modelling Statistically Independent Nonlinear Normal Modes with Gaussian Process NARX Models, Nonlinear Structures & Systems, Volume 1 (pp. 135-147). Springer International Publishing
- Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems, Nonlinear Structures & Systems, Volume 1 (pp. 165-175). Springer International Publishing
- On the Use of Cycle-Consistent Generative Adversarial Networks for Nonlinear Modal Analysis, Topics in Modal Analysis & Parameter Identification, Volume 8 (pp. 45-57). Springer International Publishing
- On the Use of Variational Autoencoders for Nonlinear Modal Analysis, Nonlinear Structures & Systems, Volume 1 (pp. 297-300). Springer International Publishing
- Multilayer Input Deep Learning Applied to Ultrasonic Wavefield Measurements, Data Science in Engineering, Volume 9 (pp. 143-156). Springer International Publishing
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 989-1061). Springer New York
- Partially Supervised Learning for Data-Driven Structural Health Monitoring, Structural Integrity (pp. 389-411). Springer International Publishing
- Population-Based Structural Health Monitoring, Structural Integrity (pp. 413-435). Springer International Publishing
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- On Topological Data Analysis for SHM: An Introduction to Persistent Homology, Data Science in Engineering, Volume 9 (pp. 169-184). Springer International Publishing
- On Generating Parametrised Structural Data Using Conditional Generative Adversarial Networks, Data Science in Engineering, Volume 9 (pp. 35-46). Springer International Publishing
- On an Application of Graph Neural Networks in Population-Based SHM, Data Science in Engineering, Volume 9 (pp. 47-63). Springer International Publishing
- Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization, Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 (pp. 167-181). Springer International Publishing
- Transferring Damage Detectors Between Tailplane Experiments, Data Science in Engineering, Volume 9 (pp. 199-211).
- New Modes of Inference for Probabilistic SHM, Lecture Notes in Civil Engineering (pp. 415-426). Springer International Publishing
- On Partitioning of an SHM Problem and Parallels with Transfer Learning, Topics in Modal Analysis & Testing, Volume 8 (pp. 41-50). Springer International Publishing
- Towards Population-Based Structural Health Monitoring, Part IV: Heterogeneous Populations, Transfer and Mapping, Model Validation and Uncertainty Quantification, Volume 3 (pp. 187-199). Springer International Publishing
- Towards Population-Based Structural Health Monitoring, Part I: Homogeneous Populations and Forms, Model Validation and Uncertainty Quantification, Volume 3 (pp. 287-302). Springer International Publishing
- Kernelised Bayesian Transfer Learning for Population-Based Structural Health Monitoring, Model Validation and Uncertainty Quantification, Volume 3 (pp. 209-215). Springer International Publishing
- An Evolutionary Approach to Learning Neural Networks for Structural Health Monitoring, Model Validation and Uncertainty Quantification, Volume 3 (pp. 237-246). Springer International Publishing
- Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72).
- Investigating Engineering Data by Probabilistic Measures, Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). Springer International Publishing
Conference proceedings papers
- Towards Exact Statistically Independent Nonlinear Normal Modes via the FPK Equation (pp 81-91)
- The Astir Glider Wing Dataset for Population-Based SHM (pp 19-25)
- ANOMALY DETECTION IN OFFSHORE WIND TURBINE STRUCTURES USING HIERARCHICAL BAYESIAN MODELLING. Proceedings of the 14th International Workshop on Structural Health Monitoring
- PHYSICS-INFORMED TRANSFER LEARNING IN PBSHM: A CASE STUDY ON EXPERIMENTAL HELICOPTER BLADES. Proceedings of the 14th International Workshop on Structural Health Monitoring
- A DECISION FRAMEWORK FOR SELECTING INFORMATION-TRANSFER STRATEGIES IN POPULATION-BASED SHM. 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
- ACOUSTIC EMISSION SOURCE LOCATION USING BAYESIAN OPTIMISATION FOR A COMPOSITE HELICOPTER BLADE. Proceedings of the 14th International Workshop on Structural Health Monitoring
- HIERARCHICAL BAYESIAN MODELLING OF A FAMILY OF FRFS. Proceedings of the 14th International Workshop on Structural Health Monitoring
- DIMENSIONALITY REDUCTION OF ACTIVE VIBRATION DATA FOR DETECTION AND MONITORING OF PROGRESSIVE DAMAGE IN WIND TURBINE BLADE. Proceedings of the 14th International Workshop on Structural Health Monitoring
- DETECTION, LOCALISATION, AND QUANTIFICATION OF BOLT LOOSENESS IN AN ALUMINIUM PLATE USING LAMB WAVE ANALYSIS. Proceedings of the 14th International Workshop on Structural Health Monitoring
- WHEN IS AN SHM PROBLEM A MULTI-TASK- LEARNING PROBLEM?. Proceedings of the 14th International Workshop on Structural Health Monitoring
- ON THE USE OF MODEL-BASED VERSUS DATA-BASED APPROACHES FOR VIRTUAL SENSING IN SHM. Proceedings of the 14th International Workshop on Structural Health Monitoring
- On Quantifying Data Normalisation via Cointegration with Topological Methods (pp 43-52)
- A Population Form via Hierarchical Bayesian Modelling of the FRF (pp 95-103)
- Better Together: Using Multi-Task Learning to Improve Feature Selection Within Structural Datasets (pp 53-61)
- A Bayesian Approach to Lamb-Wave Dispersion Curve Material Identification in Composite Plates (pp 139-149)
- On the Application of Partial Domain Adaptation for PBSHM (pp 408-418)
- View this article in WRRO
- ON AN APPLICATION OF GENERATIVE ADVERSARIAL NETWORKS ON REMAINING LIFETIME ESTIMATION. Proceedings of the 13th International Workshop on Structural Health Monitoring
- INVESTIGATING EXPERIMENTAL REPEATABILITY AND FEATURE CONSISTENCY IN VIBRATION-BASED SHM. Proceedings of the 13th International Workshop on Structural Health Monitoring
- INVESTIGATING THE EFFECTS OF AMBIENT TEMPERATURE ON FEATURE CONSISTENCY IN VIBRATION-BASED SHM. Proceedings of the 13th International Workshop on Structural Health Monitoring
- NONLINEAR REDUCED ORDER MODELLING OF SOIL STRUCTURE INTERACTION EFFECTS VIA LSTM AND AUTOENCODER NEURAL NETWORKS. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON A POPULATION-BASED STRUCTURAL HEALTH MONITORING FRAMEWORK: AN AEROSPACE CASE STUDY. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON THE APPLICATION OF TOPOLOGICAL DATA ANALYSIS: A Z24 BRIDGE CASE STUDY. Proceedings of the 13th International Workshop on Structural Health Monitoring
- ON NORMALISATION FOR DOMAIN ADAPTATION IN POPULATION-BASED STRUCTURAL HEALTH MONITORING. Proceedings of the 13th International Workshop on Structural Health Monitoring
- On Affine Symbolic Regression Trees for the Solution of Functional Problems (pp 95-108)
- On the Application of the Generating Series for Nonlinear Systems with Polynomial Stiffness (pp 135-149)
- An Initial Concept for an Error-Based Digital Twin Framework for Dynamics Applications. Conference Proceedings of the Society for Experimental Mechanics Series (pp 81-89)
- On the application of heterogeneous transfer learning to population-based structural health monitoring. 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.
- Challenges for SHM from structural repairs : an outlier-informed domain adaptation approach. 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.
- Decomposition of multi-mode signals using dispersion curves and Bayesian linear regression. Health Monitoring of Structural and Biological Systems XV, 22 March 2021 - 27 March 2021.
- On the use of nonlinear normal modes for nonlinear reduced order modelling. EURODYN 2020 - XI International Conference on Structural Dynamics, Proceedings, Vol. II (pp 3865-3877). Athens, Greece, 23 November 2020 - 26 November 2020.
- Towards population-based structural health monitoring, Part II : heterogeneous populations and structures as graphs. 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. View this article in WRRO
- Modelling of Guided Waves in a Composite Plate Through a Combination of Physical Knowledge and Regression Analysis (pp 109-114)
- View this article in WRRO
- AN APPLICATION OF GENERATIVE ADVERSARIAL NETWORKS IN STRUCTURAL HEALTH MONITORING. XI International Conference on Structural Dynamics, 23 November 2020 - 26 November 2020.
- A NEAT APPROACH TO STRUCTURAL HEALTH MONITORING. XI International Conference on Structural Dynamics, 23 November 2020 - 26 November 2020.
- 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
- View this article in WRRO
- An Efficient Likelihood-Free Bayesian Computation for Model Selection and Parameter Estimation Applied to Structural Dynamics (pp 141-151)
- Active Learning Approaches to Structural Health Monitoring (pp 157-159)
- Machine Learning for Energy Load Forecasting. Journal of Physics: Conference Series, Vol. 1106(1), 2 July 2018 - 4 July 2018. View this article in WRRO
- View this article in WRRO
- Is it worth changing pattern recognition methods for structural health monitoring?. Journal of Physics: Conference Series, Vol. 842 View this article in WRRO
- Aspects of computational intelligence in structural dynamics: Structural health monitoring. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 27 November 2017 - 1 December 2017.
- Wind Turbine Health Monitoring: Current and Future Trends with an Active Learning Twist (pp 119-129)
- In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves (pp 179-188)
- View this article in WRRO
- View this article in WRRO
- View this article in WRRO
- Exploring Environmental and Operational Variations in SHM Data Using Heteroscedastic Gaussian Processes (pp 145-153)
- Simplifying Transformations for Nonlinear Systems: Part II, Statistical Analysis of Harmonic Cancellation (pp 321-326) View this article in WRRO
- Simplifying Transformations for Nonlinear Systems: Part I, An Optimisation-Based Variant of Normal Form Analysis (pp 315-320) View this article in WRRO
- 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)
- View this article in WRRO
- Structural Health Monitoring of composite material typical of wind turbine blades by novelty detection on vibration response. Key Engineering Materials, Vol. 518 (pp 319-327)
- Novelty detection applied to vibration data from a CX-100 wind turbine blade under fatigue loading.. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
- On damage detection in wind turbine gearboxes using outlier analysis. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8343
- Damage detection in carbon composite material typical of wind turbine blades using auto-associative neural networks. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8348
- View this article in WRRO
- 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
- Experimental Validation of the Population-Form to Represent Nominally-Identical Systems. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Structural Health Monitoring: A Review of Uncertainty Quantification Methods in Wind Turbine Systems. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Damage Classification Using Labelled and Unlabelled Measurements. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Applying the Concept of Complexity to Structural Health Monitoring. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Health Monitoring of Composite Structures by Combining Ultrasonic Wave Data. 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.
- Automated Fault Diagnosis with Calibrated Artefact Probing. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- Towards a Population-based SHM: A Case Study on an Offshore Wind Farm. Structural Health Monitoring 2015
- Extreme Function Theory for SHM: A Case Study for Wind Turbines. Structural Health Monitoring 2015
- View this article in WRRO
- On the Structural Health Monitoring of Operational Wind Turbine Blades. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017. View this article in WRRO
- View this article in WRRO
Presentations
- Recent Advances in Approximate Bayesian Computation Methodology (Application in structural dynamics)..
Preprints
- Quantifying the value of positive transfer: An experimental case study, arXiv.
- Quantifying the value of information transfer in population-based SHM, arXiv.
- Sharing Information Between Machine Tools to Improve Surface Finish Forecasting, arXiv.
- When is an SHM problem a Multi-Task-Learning problem?, arXiv.
- VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems, arXiv.
- Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets, arXiv.
- Towards a Population-Informed Approach to the Definition of Data-Driven Models for Structural Dynamics, Elsevier BV.
- A topological analysis of cointegrated data: a Z24 Bridge case study, arXiv.
- A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves, arXiv.
- View this article in WRRO
- A Bayesian Method for Material Identification of Composite Plates Via Dispersion Curves.
- An application of domain adaptation for population-based structural health monitoring. Journal of Physics: Conference Series, 2647(18). View this article in WRRO