structural-health-monitoring
There are 36 repositories under structural-health-monitoring topic.
xaviergoby/Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
beric7/structural_inspection_main
Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspection and structural health monitoring.
xaviergoby/ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
shm-unesp/DATASET_PLATEUN01
CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.
IoannisDadiotis/statistical_shm
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
Adolphus8/Transitional_Ensemble_MCMC
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
shm-unesp/DATASET_BOLTEDBEAM
BERT is a dataset that presents vibration tests performed on an aluminum beam with a bolted joint with various tightening torques and hysteresis effects. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.
Smart-Objects/Impact-Events-Dataset
This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device.
RLado/ViMag
ViMag: A Visual Vibration Toolbox
AACsempre/FDD
Frequency Domain Decomposition
vewald/DeepSHM
Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
cviss-lab/XRIV
Interactive Defect Quantification through Extended Reality
mahindrautela/PKaML-SHM
Domain Knowledge based data augementation for Structural Health Monitoring
ertis-research/shm-wind-turbines
Structural Health Monitoring of Wind Turbines
jesperiksson/struc-mon
Toolbox for analyzing bridges using ANN and other methods
YehyaAbdellatif/-Classification-of-Images-for-Building-Damage-Assessment
This project presents the possibility of utilizing Convolutional Neural Networks in image processing to analyze structures and the possible damages that have occured to them
cviss-lab/LISE
Learning based Image Scale Estimation (LISE) for Quantitative Visual Inspection
Spandyie/Deep-SHM
Structural Health Monitoring is one of the recent area which has not seen significant application of deep-neural network. The major limitation is due to unavailability of huge number of labeled data set.
akaanzo/shm_system_analysis
Structural Health Monitoring System data analysis
ElsevierSoftwareX/SOFTX-D-21-00162
Open-source framework for infrastructure defect detection with transfer learning. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001503
Nandarhline/BayesianNN
BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
shm-unesp/UNESP-MAGNOLIA
MAGNOLIA is a data set of a magneto-elastic system composed of a clamped beam interacting with a permanent magnet in a mono-stable configuration with hardening behavior in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.
josepfontm/EOVmitigation
Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.
WDpad753/UBC-2002-BENCHMARK-SHM-Hammer-files
This repository is about reading and examining the hammer test data
AACsempre/FDD_PP
Frequency Domain Decomposition, including Peak Picking technique
AACsempre/Peak_picking
Peak picking technique for basic frequency domain
estevaofuzaro98/AssembledStructures
This suite is an ensemble of codes developed to conduct a vibration analysis of a assembled structure.
estevaofuzaro98/introduction-SHM
Homeworks done for SHM Course on PPGEM (FEIS/UNESP).
josepfontm/SHM-EOVLatentVariables
This repository contains Python scripts used to obtain results from the paper "A Latent Variable Approach for Mitigation of Environmental and Operational Variability in Vibration-Based SHM – A Linear Approach," presented at the EWSHM2024.
TheCodingBadger/HeroysundBridge-ML
Master's Thesis project on using machine learning as a part of a SHM assesment on a damaged, post-tensioned bridge.
yu-xw/FVRMD-based-DMPI
A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.
arunmano121/DDQT
Defect Detection and Quantification Toolbox
STAIRlab/LBGAN
Results for Synthetic Data Augmentation: Deep Leaf-Bootstrapping GAN for Image-based Structural Scene and Damage Identification
Lorena591/EMI-Experimental-Temperature-Variations
Este benchmark ontains a set of data and information relating to researches involving Structural Integrity Monitoring (SHM) via Electromechanical Impedance (EMI) and Guided Waves (GW)
WDpad753/Wooden-bridge-Benchmark-Data-for-SHM
This repository is about reading and examining the shaker test data