Article information

2023 , Volume 28, 4, p.94-108

Berman A.F., Dorodnykh N.O., Nikolaychuk O.A., Yurin A.Y.

Technology for creating knowledge-based systems for studying the dynamics of the state of technical objects

The paper addresses the descripton of technology for the creation of knowledge-based systems. The systems are aimed at studying the dynamics of technical conditions with the help of a modeldriven approach and ontological modelling. The technology is intended for end users who are experts in a particular subject domain. While studying the dynamics of the technical condition, the authors understand the problems of its genesis, identification, and forecasting. The technology is based on the principles of model-driven architecture (MDA), which defines the process of creating software and its components as a sequence of stages for building certain models and their transformation. The proposed technology implements the MDA approach for creating knowledge-based systems. The novelty of the technology is its problem-oriented specialization and ability to use various models for knowledge representation and methods of their processing, depending on the data and knowledge available to the researcher. The technology includes the following stages: the construction of problem-oriented domain models, in particular the ontology of the object under investigation, the task, and the methodology of its solution; the construction of platform-independent models the description of rules, cases, decision tables and algorithms for solving the problem; the construction of platform-dependent models within this stage, the end user must clarify the rule models, cases, and decision tables, taking into account the features of a certain knowledge representation/programming language. The technology is implemented in the form of a set of software tools integrated by data. The approbation of the approach was carried out in the cases of industrial safety inspection and decision support when diagnosing aircraft systems


Keywords: dynamics of technical state, model-oriented approach, knowledge-based systems, ontology, case-based reasoning, rule-based system, decision tables

Author(s):
Berman Alexander Fishelevich
Dr. , Professor
Position: General Scientist
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-39
E-mail: bafbam@mail.ru
SPIN-code: 7033-7576

Dorodnykh Nikita Olegovich
PhD.
Position: Senior Research Scientist
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-19
E-mail: tualatin32@mail.ru
SPIN-code: 1922-2224

Nikolaychuk Olga Anatol'evna
Dr. , Associate Professor
Position: Leading research officer
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-31-52
E-mail: nikoly@icc.ru
SPIN-code: 7354-3223

Yurin Alexander Yurievich
Dr. , Associate Professor
Position: Research Scientist
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-30-19
E-mail: iskander@icc.ru
SPIN-code: 5830-7930


Bibliography link:
Berman A.F., Dorodnykh N.O., Nikolaychuk O.A., Yurin A.Y. Technology for creating knowledge-based systems for studying the dynamics of the state of technical objects // Computational technologies. 2023. V. 28. 4. P. 94-108
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