cff-version: 1.2.0 abstract: "

***General Introduction***

This dataset contains data (figures) collected as part of Chapter 4 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 these simulation was to showcase and analyse the performance of a distributed sensor fault diagnosis scheme for marine internal combustion engines.

***Description of the data structure***

The data included in this repository has the form of .fig, .mat and .png files. A detailed description follows next.

  1. results.mat : This mat file contains the recorded simulation results based on the proposed methodology in Chapter 4 and the considered fault scenario
  2. Chapter_4_Figure_X_desc.fig: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .fig format. The contents of each Figure are briefly described by 'desc'.
  3. Chapter_4_Figure_X_desc.png: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .png format. The contents of each Figure are briefly described by 'desc'.
  4. README.txt: Contains instructions regarding the use of the dataset

***Dependencies***

To read the simulation results and the plots, I used MATLAB R2021b. However, I believe that also other versions of MATLAB may work as well.

" authors: - family-names: Kougiatsos given-names: Nikos title: "Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 4)" keywords: version: 1 identifiers: - type: doi value: 10.4121/be55c9ca-3d93-4a48-8115-c1740ad4a594.v1 license: CC BY 4.0 date-released: 2024-06-24