Skip to content

GDuthe/mvts_transformer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Multi-Variate Time-Series Transformer

This repo contains the code required to train the multivariate time-series Transformer.

Download the data

The Non-Homogeneous Compound Poisson Process aeroelastic simulation data can be downloaded from: https://doi.org/10.5281/zenodo.5544042

Usage

First modify the yaml config file as desired, then the training may be launched with:

python3 train.py -c path/to/config.yaml

Cite

Duthé, G., Abdallah, I., Barber, S., & Chatzi, E. (2021). Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades. Energies, 14(21), 7262. https://doi.org/10.3390/en14217262

Requirements

  • einops>=0.3.0
  • h5py>=2.10.0
  • numpy>=1.20.1
  • python_box>=5.3.0
  • PyYAML>=6.0
  • torch>=1.8.0
  • tqdm>=4.60.0

About

Repo containing the code to train a multivariate time-series Transformer, with a time-windowing architecture..

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages