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

<strong>***General Introduction***</strong>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.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \&amp; Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of this simulation was to optimize the isolability of multiple faults for marine propulsion plants.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .txt,.py,.sh,.xlsx and .png files. A detailed description follows next.<br><strong>README.txt </strong>: Text file containing information on how to use the python code<strong>*.xlsx: </strong>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<strong>semantic_functions.py: </strong>This file serves as the library of all necessary functions to run the greedy stochastic optimiser<strong>Semantic_database.py:</strong> Main Python file that renders the results of the Chapter using the Excel_sheets info and the functions in semantic_functions.py<strong>30_games.sh:</strong> Bash script that executes Semantic_database.py to obtain the greedy stochastic algorithm results.<strong>Chapter_6_Figure_X_desc.png</strong>: 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'.<br><strong>***Dependencies***</strong>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