https://github.com/gkevinb/masterthesis

Master Thesis
https://github.com/gkevinb/masterthesis

master-thesis python reliability-model

Last synced: 15 days ago
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Master Thesis

• Host: GitHub
• URL: https://github.com/gkevinb/masterthesis
• Owner: gkevinb
• Created: 2018-08-12T20:45:12.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-05T10:33:58.000Z (about 2 years ago)
• Last Synced: 2023-03-07T10:33:04.616Z (almost 2 years 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

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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.