Skip to content
/ ddra Public

A tool for data-driven reliability assessment of Cyber-Physical Production Systems using Process Mining

License

Notifications You must be signed in to change notification settings

jo-chr/ddra

Repository files navigation

Data-Driven Reliability Assessment of Cyber-Physical Production Systems

This is a tool for data-driven reliability assessment of Cyber-physical Production Systems (CPPS).

Getting Started

ℹ️ Tested with Python 3.11

PySPN is a requirement for this tool. Clone it and place it in the root folder of the tool like so:

.
├── components/
├── output/
├── pyspn/
├── raw_data/
├── cs_two_station.ini
├── cs_two_station.ipynb
└── ...

via git

git clone https://github.com/jo-chr/ddra.git  # 1. Clone repository
pip install -r requirements.txt  # 2. Install requirements
git clone https://github.com/jo-chr/pyspn.git  # 3. Clone PySPN repo, install its requirments, and place it in this folder
python3 cs_two_station.py  # 4. Run example

Interactive Example

An interactive example of how to use the tool can be found in cs_two_station.ipynb

Usage & Attribution

contact jofr@mmmi.sdu.dk

About

A tool for data-driven reliability assessment of Cyber-Physical Production Systems using Process Mining

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published