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Structural Health Monitoring

Papers

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Showing 51–100 of 197 papers

TitleStatusHype
Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models—0
Damage detection using in-domain and cross-domain transfer learning—0
A Bayesian methodology for localising acoustic emission sources in complex structures—0
A CMOS SoC for Wireless Ultrasonic Power/Data Transfer and SHM Measurements on Structures—0
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring—0
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection—0
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device—0
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine—0
Value of structural health information in partially observable stochastic environments—0
Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry—0
Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
Vision-based autonomous structural damage detection using data-driven methods—0
Wave based damage detection in solid structures using artificial neural networks—0
Wave-Informed Matrix Factorization with Global Optimality Guarantees—0
Bridge Structural Health Monitoring using Asynchronous Mobile Sensing Data—0
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification—0
When does a bridge become an aeroplane?—0
When is an SHM problem a Multi-Task-Learning problem?—0
YOLO series target detection algorithms for underwater environments—0
Deep learning architectures for data-driven damage detection in nonlinear dynamic systems—0
Deep Learning-Based Fatigue Cracks Detection in Bridge Girders using Feature Pyramid Networks—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization—0
Deep learning for structural health monitoring: An application to heritage structures—0
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data—0
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations—0
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks—0
Digital twin for virtual sensing of ferry quays via a Gaussian Process Latent Force Model—0
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication—0
Effect of noise on output-only modal identification of beams—0
Enhancing In-Situ Structural Health Monitoring through RF Energy-Powered Sensor Nodes and Mobile Platform—0
Enhancing robustness of data-driven SHM models: adversarial training with circle loss—0
Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models—0
Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces—0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods—0
Fully convolutional networks for structural health monitoring through multivariate time series classification—0
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks—0
Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios—0
Generative Adversarial Networks for Data Generation in Structural Health Monitoring—0
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection—0
Generative Adversarial Networks for Labelled Vibration Data Generation—0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data—0
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring—0
Improving aircraft performance using machine learning: a review—0
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers—0
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