Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
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Updated
Mar 14, 2020 - Python
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.
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
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.
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.
ViMag: A Visual Vibration Toolbox
Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
Structural Health Monitoring of Wind Turbines
Frequency Domain Decomposition
Interactive Defect Quantification through Extended Reality
Toolbox for analyzing bridges using ANN and other methods
Physical Knowledge assisted Machine Learning for Structural Health Monitoring
Learning based Image Scale Estimation (LISE) for Quantitative Visual Inspection
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
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
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