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Structural Health Monitoring

Papers

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Showing 101–150 of 197 papers

TitleStatusHype
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
1D Convolutional Neural Networks and Applications: A Survey—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
Quantifying the value of positive transfer: An experimental case study—0
Quantum-Based Combinatorial Optimization for Optimal Sensor Placement in Civil Structures—0
Real-Time Structural Deflection Estimation in Hydraulically Actuated Systems Using 3D Flexible Multibody Simulation and DNNs—0
Recovering compressed images for automatic crack segmentation using generative models—0
Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals—0
Robust Wind Turbine Blade Segmentation from RGB Images in the Wild—0
Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials—0
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic—0
Signal-based online acceleration and strain data fusion using B-splines and Kalman filter for full-field dynamic displacement estimation—0
Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves—0
Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study—0
Statistical guided-waves-based SHM via stochastic non-parametric time series models—0
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory—0
Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method—0
Structural Damage Detection Using Ensemble Empirical Mode Decomposition, Hilbert Transform and Artificial Neural Networks—0
Structural damage detection via hierarchical damage information with volumetric assessment—0
Structural Health Monitoring of Cantilever Beam, a Case Study -- Using Bayesian Neural Network AND Deep Learning—0
Structural Health Monitoring using deep learning with optimal finite element model generated data—0
Structural health monitoring with distributed wireless sensor networks—0
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring—0
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