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.
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
Interactive Defect Quantification through Extended Reality
Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
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.
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.
Frequency Domain Decomposition, including Peak Picking technique
ViMag: A Visual Vibration Toolbox
Toolbox for analyzing bridges using ANN and other methods
BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
Learning based Image Scale Estimation (LISE) for Quantitative Visual Inspection
This repository is about reading and examining the hammer test data
Frequency Domain Decomposition
Structural Health Monitoring System data analysis
Peak picking technique for basic frequency domain
A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.
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