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Structural Health Monitoring

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Showing 101–150 of 197 papers

TitleStatusHype
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers—0
Integrating Edge-AI in Structural Health Monitoring domain—0
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures—0
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification—0
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring—0
Localization of Impacts on Thin-Walled Structures by Recurrent Neural Networks: End-to-end Learning from Real-World Data—0
Lost Vibration Test Data Recovery Using Convolutional Neural Network: A Case Study—0
Machine-learning-based methods for output only structural modal identification—0
Manifold learning-based feature extraction for structural defect reconstruction—0
Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power—0
Mechanics-Informed Autoencoder Enables Automated Detection and Localization of Unforeseen Structural Damage—0
Modelling variability in vibration-based PBSHM via a generalised population form—0
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring—0
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery—0
Multi-input Multi-output Loewner Framework for Vibration-based Damage Detection on a Trainer Jet—0
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance—0
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring—0
Multi-temporal crack segmentation in concrete structure using deep learning approaches—0
NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent—0
Neural operator for structural simulation and bridge health monitoring—0
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach—0
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models—0
Non-target Structural Displacement Measurement Using Reference Frame Based Deepflow—0
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation—0
On an application of graph neural networks in population based SHM—0
On-Device Crack Segmentation for Edge Structural Health Monitoring—0
On generating parametrised structural data using conditional generative adversarial networks—0
Online structural health monitoring by model order reduction and deep learning algorithms—0
Online Tensor-Based Learning for Multi-Way Data—0
On partitioning of an SHM problem and parallels with transfer learning—0
On risk-based active learning for structural health monitoring—0
On robust risk-based active-learning algorithms for enhanced decision support—0
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
On the topology and geometry of population-based SHM—0
On the use of Statistical Learning Theory for model selection in Structural Health Monitoring—0
On topological data analysis for SHM; an introduction to persistent homology—0
On topological data analysis for structural dynamics: an introduction to persistent homology—0
Operational modal analysis of under-determined system based on Bayesian CP decomposition—0
Output-only Modal Identification of beams with different boundary condition—0
Performance-based Post-earthquake Decision-making for Instrumented Buildings—0
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature—0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
Physics-informed Gaussian process model for Euler-Bernoulli beam elements—0
Physics-informed machine learning for Structural Health Monitoring—0
Population-based wind farm monitoring based on a spatial autoregressive approach—0
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning—0
Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data—0
Prospects and Applications of Incoherent Light in Non-contact Wireless Sensing Systems—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
Quantifying the value of information transfer in population-based SHM—0
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