B-FADE: Bayesian FAtigue moDel Estimator
Project description
B-FADE: Bayesian FAtigue moDel Estimator
The package implements Maximum a Posteriori Estimation (MAP) to accomplish the estimation of fatigue models' parameters. Currently the package is designed to identify the El Haddad (EH) curve given a fatigue & defectivity characterisation dataset. Other curves are forseen in future developments.
Features
- Maximum a Posteriori Estimation and computation of the predictive posterior.
- Monte Carlo Estimation of the prediction interval for the considered curve.
- Data pre-processing & visualisation.
Quick Setup
B-FADE is available on PyPI at (add link when available), therefore it can be installed using common package managers, such as pip
or conda
:
pip install --user b-fade
conda install b-fade
For further instructions, please take a look at the documentation.
Documentation
Please refer to https://github.com/aletgn/b-fade/blob/master/README.md (Update with readthedocs when it is ready) for detailed instructions about installing, utilising B-FADE and working examples.
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