mertstend / DigitalTwin_Tutorial
Digital twin for structural dynamics applications
☆22Updated 4 years ago
Alternatives and similar repositories for DigitalTwin_Tutorial:
Users that are interested in DigitalTwin_Tutorial are comparing it to the libraries listed below
- In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Tw…☆81Updated 3 months ago
- CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SH…☆25Updated last week
- Digital twin with Python☆41Updated 3 years ago
- SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance☆13Updated 5 years ago
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆34Updated 2 years ago
- xaviergoby / ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDTApplication of LSTM network for Structural Health Monitoring & Non-Destructive Testing☆39Updated 3 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆38Updated 2 years ago
- ☆34Updated last year
- A Python class for Reliability analysis including Monte Carlo and FORM methods☆14Updated 4 months ago
- Digital twins in machining process by Generative Adversarial Nets☆46Updated 6 years ago
- Digital twin for reliability and predictive maintenance☆15Updated this week
- ☆67Updated last year
- Project for dynamic identification and structural health monitoring of real structures using data-based statistical time series analysis☆16Updated last year
- Ansys Digital Twin repository☆26Updated this week
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Updated last year
- Introduction to Vibration Theory☆33Updated last week
- Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.☆15Updated 3 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆9Updated last year
- ☆124Updated 2 years ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆34Updated 3 months ago
- The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering …☆57Updated last year
- Machine Learning for Engineers in Python☆77Updated 3 months ago
- ☆33Updated 2 weeks ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆98Updated 8 months ago
- Physics-informed learning of governing equations from scarce data☆11Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 5 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆47Updated 2 years ago
- An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process☆36Updated 4 years ago
- The Hybrid Modeling Notebook☆35Updated 5 months ago