Keith Worden
- (2023): On the use of domain adaptation techniques for bridge damage detection in a changing environment. Dans: ce/papers, v. 6, n. 5 (septembre 2023).
- : Measuring data similarity in population-based structural health monitoring using distance metrics. Dans: Structural Health Monitoring.
- (2008): Structural Health Monitoring. A Machine Learning Perspective. John Wiley & Sons, Inc., New York (États-Unis), ISBN 9781118443118.
- (2022): On statistic alignment for domain adaptation in structural health monitoring. Dans: Structural Health Monitoring, v. 22, n. 3 (septembre 2022).
- (2010): Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks. Dans: Smart Structures and Systems, v. 6, n. 2 (mars 2010).
- (2022): Domain-adapted Gaussian mixture models for population-based structural health monitoring. Dans: Journal of Civil Structural Health Monitoring, v. 12, n. 6 (août 2022).
- (2003): Statistical Damage Classification Using Sequential Probability Ratio Tests. Dans: Structural Health Monitoring, v. 2, n. 1 (mars 2003).
- (2010): Machine learning algorithms for damage detection under operational and environmental variability. Dans: Structural Health Monitoring, v. 10, n. 6 (novembre 2010).
- (2016): Prediction of landing gear loads using machine learning techniques. Dans: Structural Health Monitoring, v. 15, n. 5 (août 2016).
- (2021): Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 1 (mars 2021).
- (2020): A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).
- (2011): Influence of the Autoregressive Model Order on Damage Detection. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 3 ( 2011).
- (2018): Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo. Dans: Frontiers in Built Environment, v. 3 (février 2018).
- (2019): Use of the cointegration strategies to remove environmental effects from data acquired on historical buildings. Dans: Engineering Structures, v. 183 (mars 2019).
- (2001): Active Control in Mechanical Engineering. Dans: Structural Safety, v. 23, n. 3 (janvier 2001).
- (2016): Friction estimation in wind turbine blade bearings. Dans: Structural Control and Health Monitoring, v. 23, n. 1 (janvier 2016).
- (2005): Sensor validation using principal component analysis. Dans: Smart Materials and Structures, v. 14, n. 1 (février 2005).
- (2014): A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability. Dans: Engineering Structures, v. 80 (décembre 2014).
- (2008): A review of nonlinear dynamics applications to structural health monitoring. Dans: Structural Control and Health Monitoring, v. 15, n. 4 (juin 2008).
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