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

**通用概述**
本数据集的内容源自尼古劳斯·库吉阿佐斯（Nikos Kougiatsos）先生的博士论文第6章相关采集数据，该先生拥有代尔夫特理工大学理学硕士学位，相关研究周期为2020至2024年。本数据集公开的目的，一是作为库吉阿佐斯先生发表学术成果的补充数据，二是供其他科研人员在其研究工作中使用。
本数据隶属于READINESS项目，该项目是"水务与海事顶级领域：蓝色航道"研究计划下编号为TWM.BL.019.002的课题，由荷兰研究委员会（NWO）部分资助。

**采集目的**
本次仿真数据的采集目标为优化船舶动力装置的多故障可分离性。

**数据结构说明**
本仓库收录的数据包含.txt、.py、.sh、.xlsx及.png格式文件，详细说明如下：
1. **README.txt**：文本文件，包含Python代码的使用方法说明。
2. ***.xlsx**：请新建名为Excel_sheets的文件夹，并将所有此类文件移入该文件夹。这些文件包含作为贪婪优化器输入的语义信息。
3. **semantic_functions.py**：该文件为运行贪婪随机优化器所需全部函数的工具库。
4. **Semantic_database.py**：主Python文件，依托Excel_sheets文件夹内的信息与semantic_functions.py中的函数，生成第6章相关研究结果。
5. **30_games.sh**：用于执行Semantic_database.py以获取贪婪随机优化算法结果的Bash脚本。
6. **Chapter_6_Figure_X_desc.png**：此类文件以.png格式存储对应第6章中编号为"X"的图表的绘图数据，其中"desc"简要说明了各图表的具体内容。

**依赖项**
为读取仿真结果并生成图表，本次研究使用Python 3.9环境，所需第三方库可在semantic_functions.py的import语句中查看。