https://github.com/gkevinb/masterthesis
Master Thesis
https://github.com/gkevinb/masterthesis
master-thesis python reliability-model
Last synced: 3 months ago
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Master Thesis
- Host: GitHub
- URL: https://github.com/gkevinb/masterthesis
- Owner: gkevinb
- Created: 2018-08-12T20:45:12.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2024-09-23T22:45:09.000Z (10 months ago)
- Last Synced: 2025-02-07T16:48:25.863Z (5 months ago)
- Topics: master-thesis, python, reliability-model
- Language: Python
- Homepage: https://gaborkevinbarta.com/MasterThesis/Dashboard/
- Size: 226 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Master Thesis
## Data-Based Generation of Reliability Models
Aim: Design and implementation of methods for automated derivation of reliability models from data (e.g. A fault tree).
Objectives: Design a reliability model to produce streams of data. Analyze data for patterns using
artificial intelligence and/or machine learning. Derive and reproduce the reliability model from the data.
Compare the original reliability model and reproduced reliability model and evaluate the method of automated derivation.
[Download Thesis Report](https://gaborkevinbarta.com/files/GaborKevinBarta_MSc_Thesis.pdf)
## Installation
Use python 3.12 to run the application.
```bash
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```
## Run analysis
```bash
python analysisFT.py
```
## Run analysis
```bash
python analysisFT.py
```
## Run proxel simulation
```bash
python proxel_example.py
```
## Dockerized app
Build container
```bash
docker build -t fault-tree-analysis .
```
Run container
```bash
docker run -it --rm fault-tree-analysis
```
Using docker desktop you can inspect generated files such as the time series data, truth table, and the graphs in png format in the container.