TY - DATA
T1 - Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 6)
PY - 2024/06/24
AU - Nikos Kougiatsos
UR - 
DO - 10.4121/fba3301f-bb46-4a4c-b646-5ce3c2406628.v1
KW - semantic knowledge model
KW - FDI by means of structural properties
KW - distributed fault diagnosis
KW - sensor faults
KW - complex systems
KW - Computational Intelligence methods
KW - safety of marine systems
N2 - <p><strong>***General Introduction***</strong></p><p>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.</p><p>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.</p><p></p><p>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).</p><p><strong>***Purpose of the collection***</strong></p><p>The purpose of this simulation was to optimize the isolability of multiple faults for marine propulsion plants.</p><p><strong>***Description of the data structure***</strong></p><p>The data included in this repository has the form of .txt,.py,.sh,.xlsx and .png files. A detailed description follows next.</p><p></p><ol><li><strong>README.txt </strong>: Text file containing information on how to use the python code</li><li><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</li><li><strong>semantic_functions.py: </strong>This file serves as the library of all necessary functions to run the greedy stochastic optimiser</li><li><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</li><li><strong>30_games.sh:</strong> Bash script that executes Semantic_database.py to obtain the greedy stochastic algorithm results.</li><li><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'.</li></ol><p></p><p><strong>***Dependencies***</strong></p><p>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</p>
ER -