On the Application of Cluster Analysis for the Development of Safety Assessment Methods for Technical Systems

The objective of the study is to elaborate and develop auxiliary analytical approaches for the implementation of expert activities. The problem of effective support of expert safety assessment is relevant at all stages of the life cycle of the organization’s production equipment. Traditional assessment methods may face a lack of data. In the course of research, new methods have been developed that should be both convenient for digitalization and automation of evaluation algorithms, and generate new information (conduct DATA MINING) for experts during data processing. The paper offers new possibilities for the use of cluster analysis, cluster analysis methods for the field of safety assessment, safety culture. As a result of the research, approaches to the formation of data clusters for methods of assessing the safety of production and equipment are proposed, and emphasis is placed on the analysis of these clusters using graph theory. The article highlights the features of the use of cluster analysis for security assessment. Recommendations are given for the development of additional methods of safety assessment with the possibility of their subsequent automation (by computers) in the context of digital transformation of expertise and support of control systems of technological processes.