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
- 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…☆27Updated 6 months ago
- multi-fidelity neural network☆21Updated 2 years ago
- Sonkyo blade benchmark☆18Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆28Updated 9 months ago
- ☆44Updated 3 years ago
- 20 MW common research wind turbine model data☆12Updated 9 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆70Updated last week
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆17Updated 3 years ago
- Estimates fatigue loads in wind turbines from SCADA data based on supervised learning.☆10Updated 7 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 6 months ago
- Wind energy library, python and matlab tools for wind turbines analyses☆104Updated 2 months ago
- ☆131Updated 3 years ago
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆10Updated 5 years ago
- ☆42Updated 2 years ago
- ☆21Updated last year
- ☆40Updated 2 years ago
- ☆15Updated 6 months ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Updated 3 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆116Updated 3 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated last month
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆35Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆41Updated 3 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago