FORMULATION OF THE PROBLEM OF ASSESSING THE TECHNICAL CONDITION OF INFORMATION AND MEASURING SYSTEMS BASED ON A FORMALIZED DESCRIPTION OF EXPERT KNOWLEDGE 

Andrey Yu. Dmitrievtsev, Postgraduate student, Tambov State Technical University (106 Sovetskaya street, Tambov, Russia), E-mail: dmitrievcev978@gmail.com
Yury T. Zyryanov, Doctor of technical sciences, professor, professor of the sub-department of design of radioelectronic and microprocessor systems, Tambov State Technical University (106 Sovetskaya street, Tambov, Russia), E-mail: zut-tmb@mail.ru
Sergey A. Nesterovich, Candidate of technical sciences, associate professor, associate professor of the sub-department of information technologies, artificial intelligence and social technologies of the digital society, Russian State Social University (build. 1, 4 Wilhelma Pika street, Moscow, Russia), E-mail: sirial_2005@mail.ru
Sergey P. Khripunov, Doctor of technical sciences, professor, leading researcher, Institute of Management Problems named after V.A. Trapeznikov of the Russian Academy of Sciences (65 Profsoyuznaya street, Moscow, Russia), E-mail:hsp61@yandex.ru 

Background. The relevance of the work is due to the fact that the methods used in the monitoring and diagnostic system do not fully use new approaches using new information technologies. This occurs due to the lack of possibility of instrumental assessment of some technical characteristics and their values. These characteristics are usually called attributes, since it is impossible to determine their value quantitatively. The purpose of the work is to study the possibility of creating a database for a monitoring and diagnostic system that would allow specialists with an insufficient level of training and knowledge to diagnose and eliminate complex faults (system failure, uncharacteristic failure, "floating" defect), in cases where there is no possibility, transfer of experience and knowledge to more experienced employees. Materials and methods. This paper discusses a method for formalizing quantitative decisions, data from the control system, described by experts, and the application of the theory of fuzzy sets. This method allows you to obtain up-to-date information, which in turn makes it possible to develop more modern diagnostic systems with higher quality. Results and conclusions. The proposed approach can significantly reduce the effort and time spent searching for a failure location, as well as improve the quality of inspection results. When using fuzzy logic algorithms or neural network technologies, it is possible to improve the quality of control and diagnostics. 

intelligent control systems, qualitative and quantitative characteristics of the object being diagnosed, expert knowledge 

Dmitrievtsev A.Yu., Zyryanov Yu.T., Nesterovich S.A., Khripunov S.P. Formulation of the problem of assessing the technical condition of information and measuring systems based on a formalized description of expert knowledge. Nadezhnost' i kachestvo slozhnykh sistem = Reliability and quality of complex systems. 2024;(2):113–119. (In Russ.). doi: 10.21685/2307-4205-2024-2-13