Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 6)

DOI:10.4121/fba3301f-bb46-4a4c-b646-5ce3c2406628.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fba3301f-bb46-4a4c-b646-5ce3c2406628

Datacite citation style

Kougiatsos, Nikos (2024): Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 6). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fba3301f-bb46-4a4c-b646-5ce3c2406628.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

***General Introduction***

This dataset contains data collected as part of Chapter 6 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.

It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.

This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).

***Purpose of the collection***

The purpose of this simulation was to optimize the isolability of multiple faults for marine propulsion plants.

***Description of the data structure***

The data included in this repository has the form of .txt,.py,.sh,.xlsx and .png files. A detailed description follows next.

  1. README.txt : Text file containing information on how to use the python code
  2. *.xlsx: Please create a new folder called Excel_sheets and add all of those files in it. These files contain the semantic information that serves as input to the greedy optimiser
  3. semantic_functions.py: This file serves as the library of all necessary functions to run the greedy stochastic optimiser
  4. Semantic_database.py: Main Python file that renders the results of the Chapter using the Excel_sheets info and the functions in semantic_functions.py
  5. 30_games.sh: Bash script that executes Semantic_database.py to obtain the greedy stochastic algorithm results.
  6. Chapter_6_Figure_X_desc.png: These files hold the plotting information corresponding to Figure 'X' of Chapter 6 in .png format. The contents of each Figure are briefly described by 'desc'.

***Dependencies***

To read the simulation results and create the plots, I used Python 3.9. The required libraries can be found in the import statements in semantic_functions.py

History

  • 2024-06-24 first online, published, posted

Publisher

4TU.ResearchData

Format

image/.png, application/python(.py), inputs/.xlsx, outputs/.txt, instructions/.txt, executable/.sh

Funding

  • READINESS (grant code TWM.BL.019.002) [more info...] Netherlands Organisation for Scientific Research (NWO)

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Maritime and Transport Technology

DATA

Files (10)