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Structural Health Monitoring

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Showing 101–125 of 197 papers

TitleStatusHype
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring—0
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systemsCode1
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime—0
Deep learning for structural health monitoring: An application to heritage structures—0
Improving aircraft performance using machine learning: a review—0
Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials—0
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine—0
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsCode1
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature—0
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin PlateCode1
A topological analysis of cointegrated data: a Z24 Bridge case study—0
On topological data analysis for structural dynamics: an introduction to persistent homology—0
On topological data analysis for SHM; an introduction to persistent homology—0
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical SystemsCode1
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation—0
Physics-informed machine learning for Structural Health Monitoring—0
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes—0
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers—0
On statistic alignment for domain adaptation in structural health monitoringCode0
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations—0
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic—0
Lost Vibration Test Data Recovery Using Convolutional Neural Network: A Case Study—0
Modelling variability in vibration-based PBSHM via a generalised population form—0
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health MonitoringCode0
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