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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 foreseen 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 at PyPI, so 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 ReadTheDocs for detailed instructions about installing, utilising B-FADE and working examples.

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