Skip to content

Latest commit

 

History

5 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LIFT

Learning Fault Trees from Observational Data

Paper: https://link.springer.com/chapter/10.1007/978-3-319-99154-2_19

Files generateFT.py and generateFTsofsize.py can generate all fault trees based on a fixed number of events. In our paper, this size is 8. File LIFT.py contains the code to learn a fault tree based on a statistical test (PAMH). File plotvariables.py tests LIFT with noisy data or superfluous variables, as described in the paper.

Python version: 3.5

About

Learning Fault Trees from Observational Data

Resources

Stars

8 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages