mylonasc / fatigue_cvaeLinks
Code for "Conditional Variational Autoencoders for Probabilistic Wind Turbine Blade Fatigue Estimation using SCADA data"
☆18Updated 4 years ago
Alternatives and similar repositories for fatigue_cvae
Users that are interested in fatigue_cvae are comparing it to the libraries listed below
Sorting:
- A wind turbine digital twin based on YAMS☆29Updated 4 years ago
- Sonkyo blade benchmark☆18Updated 4 years ago
- 20 MW common research wind turbine model data☆11Updated 9 years ago
- multi-fidelity neural network☆20Updated 2 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆28Updated 6 months ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆114Updated 3 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆25Updated 3 months ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆13Updated 6 months ago
- Wind energy library, python and matlab tools for wind turbines analyses☆93Updated 2 weeks ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 years ago
- Physics-guided Convolutional Neural Network☆68Updated 4 years ago
- ☆130Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆19Updated 4 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 4 years ago
- ☆41Updated 3 years ago
- A control-oriented medium-fidelity wind farm model based on the unsteady 2D Navier-Stokes equations☆33Updated 5 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 3 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Fatigue damage accumulation for variable amplitude stress-time histories using the Palmgren-Miner rule.☆14Updated 2 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆10Updated 2 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- ☆12Updated last year
- ☆85Updated last year
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Updated 6 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆40Updated 3 months ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- Multi-fidelity probability machine learning☆19Updated 8 months ago