# ML-Based Maintenance and Control Process Analysis, Simulation, and Automation--A Review
## 3 Results  
After analysing the content of the main databases, we searched for research articles in two major databases: WoS and Scopus. This choice was dictated by the wide range of research results they contain and their detailed data and analytical tools, enabling comprehensive analyses. This is particularly beneficial when conducting interdisciplinary bibliometric analyses and assessing the impact of research results, as was the case for us. Through creating advanced queries tailored to our research objectives, we were able to apply filters to select relevant publications. In this way, we limited the search to articles in English. Later in the study, we manually reviewed the articles, excluding some (including duplicate articles) to match our research objectives, resulting in the final sample size shown in Figure 9. The WoS search was performed using 'Topic', a search using the following set: title, abstract, keyword plus, and other keywords. The Scopus search used the following set: article title, abstract, and keywords. The resulting publications were further screened (Figure 9).  
We started our bibliometric analysis with descriptive statistics to understand the characteristics of the data set of the selected group of scientific publications, including leading authors, research institutions, subject areas, and emerging trends in the subject area. This allowed us to identify the evolving vocabulary and major research developments. Examining changes in trends over time allowed us to see changes in the direction/mainstream of research over time and the type and dynamics of the area, including the categorisation of publications into thematic clusters and a picture of the links between research themes. This allowed for easier further identification of key themes and sub-domains, including emerging research directions. A summary of the bibliographic analysis is presented in Table 2. Many original (research) articles were observed. The largest number of publications was related to studies in engineering and computer science. More than half of the leading topics were on technological issues, and a smaller proportion were on implementation issues. The leading countries conducting and funding research were large states in Asia, North America, and Europe, which was also reflected in the leading affiliations.  
\begin{table}
\begin{tabular}{l l} \hline \hline
**Parameter/Feature** & **Value** \\ \hline \multirow{2}{*}{Leading type of publication} & Article (48.8\%), Conference paper (37.2\%), \\  & Review (9.3\%), Book chapter (2.3\%) \\ \hline \multirow{2}{*}{Leading area of science} & Engineering (31.3\%), Computer science (21.9\%), \\  & Energy (8.3\%), Mathematics (7.3\%), \\  & Physics and Astronomy (6.3\%), Decision Sciences (4.2\%) \\ \hline \multirow{4}{*}{Leading topic} & Friction and Vibration, Design and Manufacturing, AI and \\  & ML, Statistical methods, Telecommunications, \\ \cline{1-1}  & Human–Computer Interaction, Safety and Maintenance, \\ \cline{1-1}  & Computer Vision and Graphics, Automation and Control \\ \cline{1-1}  & Systems \\ \hline Leading countries & India, Germany, Italy, Australia, USA, China, Norway, Qatar \\ \hline Leading scientist(s) & None observed \\ \hline \multirow{2}{*}{Leading affiliation} & UniversitatadegliStudi di Padova, \\  & NorgesTekknisk-NaturvitenskapeligeUniversitet, \\ \cline{1-1}  & UniversitatHohenheim \\ \cline{1-1}  & Hamad Bin Khalifa University Qatar, Qatar Fundation QF \\ \hline \multirow{2}{*}{Leading funding (where information available)} & Bundesministerium fur Wirtschaft und Energie, \\ \cline{1-1}  & Bundesministerium fur Erbahrung und Landwritschaft \\ \hline \hline \end{tabular}
\end{table}
Table 2: Summary of results of bibliographic analysis (WoS, Scopus).  
Figure 9: A flow chart of the review process using PRISMA 2020 guidelines (publications: 2017–2024).