Structural Health Monitoring

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Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (197 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
  15 Jun 2021 2 repositories listed
  Feature selection refers to the process of selecting useful features for machine learning tasks, and it is also a key step for structural health monitoring (SHM).
• Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions
  12 Mar 2025 1 repository listed
  Knowledge of the force time history of a structure is essential to assess its behaviour, ensure safety and maintain reliability.
• Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
  2 Oct 2024 1 repository listed
  The accurate modelling of structural dynamics is crucial across numerous engineering applications, such as Structural Health Monitoring (SHM), seismic analysis, and vibration control.
• Multitask learning for improved scour detection: A dynamic wave tank study
  29 Aug 2024 1 repository listed
  These observations were then used in a partially-pooled Bayesian hierarchical model in tandem with surrogate FE models of the structures to infer foundation stiffness parameters.
• Foundation Models for Structural Health Monitoring
  3 Apr 2024 1 repository listed
  For AD, we achieve a near-perfect 99.
• Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
  12 Mar 2024 1 repository listed
  Contemporary deep learning models have demonstrated promising results across various applications within seismology and earthquake engineering.
• Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health Monitoring
  7 Nov 2023 1 repository listed
  We believe that we are the first to report numerical models for four types of damages in HCSS, which is followed up with experimental validation.
• Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes
  21 Sep 2023 1 repository listed
  The proposed approach has potential applications in the field of structural health monitoring (SHM) for both mechanical and structural systems.
• Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
  13 Sep 2023 1 repository listed
  Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design.
• Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform
  23 Aug 2023 1 repository listed
  This paper presents a novel data-driven approach to identify partial differential equation (PDE) parameters of a dynamical system.
• Deep generative models for unsupervised delamination detection using guided waves
  10 Aug 2023 1 repository listed
  With the rising demands for robust structural health monitoring procedures for aerospace structures, the scope of intelligent algorithms and learning techniques is expanding.
• Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
  15 Dec 2022 1 repository listed
  We present a framework to estimate POMDP transition and observation model parameters directly from available data, via Markov Chain Monte Carlo (MCMC) sampling of a Hidden Markov Model (HMM) conditioned on actions.
• Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping
  7 Dec 2022 1 repository listed
  The DA module transfers the accumulated knowledge in contrasting no-damage and damage cases in the source domain to the target domain, given only the target's no-damage case.
• Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems
  9 Oct 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  Typically, conventional variational inference models are parameterized by neural networks independent of the latent dynamics models.
• Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
  20 Sep 2022 1 repository listed
  Nowadays, more and more datasets are published towards research and development of systems and models, enabling direct comparisons, continuous improvement of solutions, and researchers engagement with experimental, real…
• NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems
  26 Aug 2022 1 repository listed
  Structural monitoring for complex built environments often suffers from mismatch between design, laboratory testing, and actual built parameters.
• On statistic alignment for domain adaptation in structural health monitoring
  24 May 2022 1 repository listed
  The practical application of structural health monitoring (SHM) is often limited by the availability of labelled data.
• Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring
  4 Mar 2022 1 repository listed
  Modern real-time Structural Health Monitoring systems can generate a considerable amount of information that must be processed and evaluated for detecting early anomalies and generating prompt warnings and alarms about…
• Automatic crack classification by exploiting statistical event descriptors for Deep Learning
  24 Jul 2019 1 repository listed
  In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of big data from low-cost sensors with…
• Real-Time Video Surveillance Based Structural Health Monitoring of Civil Structures Using Artificial Neural Network
  1 Jul 2019 1 repository listed
  In the current research, we have developed a high speed video imaging based structural health monitoring system that utilizes blob detection based motion tracking algorithm.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-25.