Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects

Abstract

In the article the architecture of the intelligent high-performance platform of a distributed decision support system for monitoring and diagnostics of technological objects is developed. The proposed architecture will ensure the implementation of the concept of an integrated cyber-physical system to ensure the safety and sustainability of production in terms of operation of technological equipment. In general version, building a system using such an architecture, on the one hand, ensures openness in the formation of the analytical core of the decision support system, which will ensure a high level of system adequacy in the conditions of production transformation, increasing the intensity of information exchange and the volume of data being analyzed. The approaches based on the methods of automatic construction of artificial neural networks ensembledistributed solvers (classifiers) are examined. It can be used to create analytical support for decision support systems and their automated initialization in a specific production environment. #CSOC1120.

Mathematical model for diagnosing a nonlinear elastic medium

“…Continuation of the research presented in the article may be associated with the development of methods for solving coefficient inverse problems for the dynamic equations of the theory of elasticity, taking into account thermoelastic [18], viscoelastic [19] and electroelastic [20] effects, which can contribute to the development of the theoretical foundations of non-destructive testing of materials. In practical terms, it is also advisable to study the issues of organizing a system of diagnostic tests, for which models and methods of structural-parametric synthesis of systems can be used (for example, [21]) using intelligent decision support tools [22].…”