Topic: structural-health-monitoring Goto Github
Some thing interesting about structural-health-monitoring
Some thing interesting about structural-health-monitoring
structural-health-monitoring,Frequency Domain Decomposition
User: aacsempre
structural-health-monitoring,Frequency Domain Decomposition, including Peak Picking technique
User: aacsempre
structural-health-monitoring,Peak picking technique for basic frequency domain
User: aacsempre
structural-health-monitoring,Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
User: adolphus8
structural-health-monitoring,Structural Health Monitoring System data analysis
User: akaanzo
structural-health-monitoring,Defect Detection and Quantification Toolbox
User: arunmano121
Home Page: https://ddqt.readthedocs.io/en/latest/index.html
structural-health-monitoring,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.
User: beric7
structural-health-monitoring,Learning based Image Scale Estimation (LISE) for Quantitative Visual Inspection
Organization: cviss-lab
structural-health-monitoring,Interactive Defect Quantification through Extended Reality
Organization: cviss-lab
structural-health-monitoring,
User: earthinversion
structural-health-monitoring,Structural Health Monitoring of Wind Turbines
Organization: ertis-research
structural-health-monitoring,This suite is an ensemble of codes developed to conduct a vibration analysis of a assembled structure.
User: estevaofuzaro98
structural-health-monitoring,Homeworks done for SHM Course on PPGEM (FEIS/UNESP).
User: estevaofuzaro98
structural-health-monitoring,Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis
User: ioannisdadiotis
structural-health-monitoring,Toolbox for analyzing bridges using ANN and other methods
User: jesperiksson
structural-health-monitoring,Repository containing multiple EOV Mitigation Procedures for Structural Health Monitoring.
User: josepfontm
structural-health-monitoring,Code to reproduce paper results (or as close as possible, depending on data-availability). Jupyter notebooks are provided to showcase the proposed method in different case studies (numerical and experimental) and compare its performance with other existing EOV mitigation procedures.
User: josepfontm
structural-health-monitoring,Physical Knowledge assisted Machine Learning for Structural Health Monitoring
User: mahindrautela
structural-health-monitoring,BayesianNN: Implementation of BNNs for virtual monitoring (offshore wind farms) and uncertainty quantification
User: nandarhline
structural-health-monitoring,ViMag: A Visual Vibration Toolbox
User: rlado
structural-health-monitoring,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.
Organization: shm-unesp
structural-health-monitoring,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.
Organization: shm-unesp
structural-health-monitoring,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.
Organization: shm-unesp
structural-health-monitoring,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.
Organization: smart-objects
structural-health-monitoring,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.
User: spandyie
structural-health-monitoring,Master's Thesis project on using machine learning as a part of a SHM assesment on a damaged, post-tensioned bridge.
User: thecodingbadger
structural-health-monitoring,Perception Modelling by Invariant Representation of Deep Learning for Automated Structural Diagnostic in Aircraft Maintenance: A Study Case using DeepSHM
User: vewald
structural-health-monitoring,This repository is about reading and examining the hammer test data
User: wdpad753
structural-health-monitoring,This repository is about reading and examining the shaker test data
User: wdpad753
structural-health-monitoring,Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
User: xaviergoby
structural-health-monitoring,Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
User: xaviergoby
structural-health-monitoring,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
User: yehyaabdellatif
structural-health-monitoring,A method for distributed modal parameters identifiction: distributed single-channel based parameters estimation at edge; multi-channel modal parameters integration at remote.
User: yu-xw
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