berkcankapusuzoglu / Digital-twin-approach-for-damage-tolerant-mission-planning-under-uncertaintyLinks
The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspection/maintenance/repair history of a system (or a component) of interest, can potentially be used to optimize operational parameters of the system in order to achieve a desired performance or reliability goal. In …
☆18Updated 3 years ago
Alternatives and similar repositories for Digital-twin-approach-for-damage-tolerant-mission-planning-under-uncertainty
Users that are interested in Digital-twin-approach-for-damage-tolerant-mission-planning-under-uncertainty are comparing it to the libraries listed below
Sorting:
- This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Lear…☆68Updated 11 months ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆38Updated 11 months ago
- In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…☆10Updated 3 years ago
- Digital Twin of an Induction Motor: Fault Analysis and Predictive Maintenance☆16Updated last year
- ☆87Updated 2 years ago
- MATLAB Tool for Multi-Objective Optimization☆60Updated 7 months ago
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆36Updated 3 years ago
- Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning☆23Updated 8 months ago
- DeepONet and UQ for power systems transient stability☆12Updated 2 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆14Updated 7 months ago
- Surrogate Based Design Optimization Toolbox☆33Updated 7 years ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆37Updated 9 months ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Updated last year
- A set of methods and proprieties to perform reliability-based-design-optimization by Scenario theory. Scenario optimization makes direct…☆17Updated 3 years ago
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆17Updated last year
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆19Updated 2 years ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆34Updated 2 months ago
- ☆34Updated 2 years ago
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago
- Physics informed neural networks for control-oriented building thermal models☆31Updated 3 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated last year
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆15Updated 6 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆19Updated last year
- ☆12Updated 2 years ago
- Dynamic Mode Decomposition (DMD)☆33Updated 3 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆41Updated 4 months ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated 2 years ago
- Representative point selection by the GF-discrepancy minimization technique for the probability density evolution method (PDEM).☆13Updated 11 months ago
- Optimization of an active suspension system (Fuzzy Logic Controlled) by use of Particle Swarm Optimization☆27Updated 8 years ago