Model for Assessing the Readiness of Complex Technical Systems Taking into Account the Metrological Characteristics of Control Tools
https://doi.org/10.17586/0021-3454-2022-65-9-640-647
Abstract
The issues of ensuring the reliable functioning of complex technical systems during operation by carrying out scheduled maintenance with the use of controls are considered. The possibility of conducting simulation modeling in order to evaluate the most important indicators of system reliability, for example, the availability coefficient, taking into account the metrological characteristics of the control means, is being investigated. The study is declared to be of great importance for confirming theoretical statements about the influence of quality control on reliability indicators. Analytical and simulation models for assessing the readiness indicators of a complex technical system are proposed. Simulation modeling is carried out on the basis of the AnyLogic software environment, the obtained results are used to construct dependences of the system readiness coefficient on the metrological characteristics (control errors) of applied control tools and service parameters.
About the Authors
E. A Kopeyka
A. F. Mozhaisky Military Space Academy; Military Research Institute
Russian Federation
Russian Federation
Ekaterina А. Kopeyka - PhD; Senior Researcher
St. Petersburg
A. L. Kopeyka
A. F. Mozhaisky Military Space Academy; Military Research Institute
Russian Federation
Russian Federation
Alexander L. Kopeyka - PhD; Head of the Laboratory
St. Petersburg
A. M. Baranovsky
A. F. Mozhaisky Military Space Academy
Russian Federation
Russian Federation
Anatoly М. Baranovsky - PhD, Associate Professor, Senior Lecturer, Department of Automated Systems for the Preparation and Launch of Space Rockets
St. Petersburg
References
1. Kopeika A.L., Dorozhko I.V., Osipov N.A. Proceedings of the Mozhaisky Military Space Academy, St. Petersburg, 2019, no. 652, pp. 303-313. (in Russ.)
2. Zakharova E.A., Dorozhko I.V., Kopeika A.L. News of the Tula State University. Technical Sciences, 2018, no. 10, pp. 490-498. (in Russ.)
3. Averyanov A.V., Baranovsky A.M., Esaulov K.A. Journal of Instrument Engineering, 2014, no. 3(57), pp. 23-25. (in Russ.)
4. Zakharova E.A., Kopeika A.L., Kuznetsov A.B., Shavin A.S. News of the Tula State University. Technical Sciences, 2018, no. 10, pp. 424-430. (in Russ.)
5. Lubkov N.V., Spiridonov I.B., Stepanyants A.S. Trudy MAI, 2016, no. 85. (in Russ.)
6. Zakharova E.A., Privalov A.E., Dorozhko I.V., Kopeika A.L. Trudy MAI, 2018, no. 103. (in Russ.)
7. Zakharova E.A., Baranovsky A.M. Proceedings of the Mozhaisky Military Space Academy, 2019, no. 669, pp. 124-132. (in Russ.)
8. Boyev V.D. Komp'yuternoye modelirovaniye. Posobiye dlya prakticheskikh zanyatiy, kursovogo i diplomnogo proyektirovaniya v AnyLogic 7 (Computer Modelling. Handbook for Practical Training, Course and Diploma Design in AnyLogic 7), St. Petersburg, 2014, 432 р. (in Russ.)
9. Zverev G.Ya. Otsenka nadezhnosti izdeliya v protsesse ekspluatatsii (Assessment of Product Reliability during Operation), Moscow, 2010, 96 р. (in Russ.)
10. Dorozhko I.V., Tarasov A.G., Baranovsky A.M. Intellectual Technologies on Transport, St. Petersburg, 2015, no. 3, pp. 36-45. (in Russ.)
11. Lyubchenko A.A. Nauka i sovremennost', 2010, no. 5-2, pp. 246-251. (in Russ.)
12. Yakimov I.M., Kirpichnikov A.P., Mokshin V.V. Bulletin of Kazan Technological University, 2014, no. 13, pp. 352-357. (in Russ.) 13. Vityuk V.L., Guzenko V.L., Mironov E.A., Sevostyanov D.A., Shestopalova O.L. Basic Research, 2015, no. 5-3, pp. 493-498. (in Russ.)
Review
For citations:
Kopeyka E.A., Kopeyka A.L., Baranovsky A.M. Model for Assessing the Readiness of Complex Technical Systems Taking into Account the Metrological Characteristics of Control Tools. Journal of Instrument Engineering. 2022;65(9):640-647. (In Russ.) https://doi.org/10.17586/0021-3454-2022-65-9-640-647
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