/FFERMAT

Functional Failure Early Resilience Models And Tools - Unofficial version (see: https://github.com/DesignEngrLab/FFERMAT)

Primary LanguageJupyter Notebook

FFERMAT: Function-Failure Early Resilience Models And Tools

FFERMAT is a toolkit to enable the modelling and design of systems in the early design phase. With it, one can model the dynamic effects of a fault over time in an engineered system and and then design the system to be more resilient based on rate and severity information.

Features include:
  • graph-based fault propagation enabling forward and backward degradation of model flows
  • propagation of faults in a timeless sense or over time
  • display of a systems behavior in faulty or nominal states
  • ability to run through a list of scenarios and provide an FMEA-style table of faults, effects, rates, costs, and overall risk

In the future, we would like to add features for:

  • optimization
  • quantification of resilience

WARNING: This is a research code and is currently under development. Some features may not work as desired and may change during development.

Getting Started

Prerequisites

FFERMAT requires Python 3 to run.

It also uses the following packages to be installed on Python 3:

  • networkx
  • matplotlib
  • mpl_toolkits
  • numpy
  • astropy

so make sure to install (e.g. using pip install packagename) them before running any of the codes.

One of the example scripts is provided in Jupyter Notebook, so install it if you would like to use that.

Examples

A simple example model is provided in ex_pump.py and an example of setting up the model, propagating single faults and a list of faults, and displaying results with that model is provided in pump_script.py.

A (more complicated) model is provided in quad_mdl.py and quad_script.py for a small drone.

Contributors

Daniel Hulse

License

MIT

Acknowledgements

FFERMAT was originally based on the IBFM code written by Matthew McIntire and available at https://github.com/DesignEngrLab/IBFM.