There are 5 repositories under structural-health-monitoring topic.
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
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.
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
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.
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
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.
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.
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
Structural Health Monitoring of Wind Turbines
Toolbox for analyzing bridges using ANN and other methods
Structural Health Monitoring System data analysis
Open-source framework for infrastructure defect detection with transfer learning. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001503
Physical Knowledge assisted Machine Learning for Structural Health Monitoring
Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.
BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
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.
This repository is about reading and examining the hammer test data
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
Peak picking technique for basic frequency domain
This suite is an ensemble of codes developed to conduct a vibration analysis of a assembled structure.
Homeworks done for SHM Course on PPGEM (FEIS/UNESP).
A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.
Defect Detection and Quantification Toolbox
This repository is about reading and examining the shaker test data