Oliinyk A. The information technology for structural-parametric identification of GTE systems based on adaptive multi-component models

Object of research: processes of structural and parametric identification of complex technical objects in diagnostic systems. The purpose of research: decreasing of laboriousness and increasing effectiveness of structural-parametric identification of complex technical objects using adaptive multicomponent models by application of information technology with programmatic synthesis of structural-parametric identification algorithms. UML standard, system analysis, graph theory, algorithm theory, set theory, relational database theory, knowledge engineering, infological modeling, object-oriented analysis, modeling and programming methods were applied. For the first time it was suggested to apply building method for an informational model of a complex technical object based on describing hierarchy of adaptive multicomponent model components in a form of a graph that allowed to represent knowledge about structural identification result for purposes of automatic parametric identification algorithms synthesis by software tools. The methods of parametric identification algorithms synthesis were improved by suggested method of combining typical algorithms in accordance to adaptive multicomponent model structure that allows to perform algorithms synthesis by software tools. The information technology for diagnosing complex technical objects got further development by suggested infological and object-oriented models of complex technical objects providing usage of information about chosen model structure for programmatic parametric identification algorithms synthesis. The application level for obtained results is branch. Usage field: systems for processing GTE operation data.