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On optimizing operation and updating processes of measuring equipment f eet
https://doi.org/10.32446/0368-1025it.2022-8-28-34
Abstract
The model for managing the process of operation and updating the fleet of measuring equipment, taking into account degradation processes is proposed. The model includes three groups of degradation of measuring equipment. The functional dependence of the stationary availability coefficient on the intervals between verifications, on the relative operational tolerances for the controlled parameters, on the relative measurement errors and other technical and technological parameters of the operation and renewal of the fleet is constructed. The presented model allows us to calculate the optimal (rational) parameters of operation and renewal of the fleet of measuring equipment. The model can be used to classify complex technical systems in order to set requirements for their metrological support.
About the Author
R. Z. Khayrullin
National Research Moscow State University of Civil Engineering;
Main Scientific Metrological Centre,
Russian Federation
Russian Federation
Rustam Z. Khayrullin
Moscow
Mytischy, Moscow region
References
1. Sychev E. I., Metrologicheskoe obespechenie radioelektronnoj apparatury, Moscow, Tatiana’s Day Publ., 1994, 277 p. (In Russ.)
2. Mishchenko V. I., Evolution of models of the process of operation of weapons and military equipment, Vestnik akademii voennyh nauk, 2003, no. 4(05), 200, available at: https://militaryar ticle.ru/vestnik-akademii-voennykh-nauk/2003-vavn/10460 -jevoljucijamodelej-processa-jekspluatacii (accessed: 10.06.2022). (In Russ.)
3. Viktorova V. S., Lubkov N. V., Stepanyants A. S., A naliz nadezhnosti otkazoustojchivyh upravlyayushchih vychislitel’nyh sistem [Reliability analysis of fault-tolerant control computing systems], Moscow, Institute of Management Problems of Russian Academy of Science Publ., 2016, 117 p. (In Russ.)
4. Meshalkin V. P., Boyarinov Yu. G., Theor. Found. Chem. Eng., 2010, vol. 44, no. 2. pp. 186–191. https://doi.org/10.1134/S0040579510020090
5. Glushko S. I., Boyarinov Yu. G., Semi-markov models of systems with fuzzy parameters, Programmnye produkty i sistemy, 2012, no. 2, pp. 146–148. (In Russ.) 6. Kozlov A. Yu., Model of the semi-Markov process of functioning of a mobile video surveillance system (with implementation in Matlab), Izvestiya vysshih uchebnyh zavedenij. Povolzhskij region. Tekhnicheskie nauki, 2016, no. 1 (37), pp. 40–55. (In Russ.)
6. Kravchenko V. F., Lutsenko V. I., Masalov S. A., Pustovoit V. I., , Doklady physics 20 13, vol. 58, no. 11, pp. 465–468. https://doi.org/10.1134/S1028335813110074
7. Kuznetsov S. V., Mathematical models of processes and systems of technical operation of avionics as Markov and semiMarkov processes, Nauchnyj vestnik MGTU GA, 2015, no. 213(3), pp. 28–33. (In Russ.)
8. Chernyshova T. I., Tretyakov V. V., Mathematical modeling in the analysis of metrological reliability of analog blocks of information and measurement systems, Vestnik TGTU, 2014, vol. 20, no. 1, pp. 42–49. (In Russ.)
9. Mishchenko V. I., Kravtsov A. N., Mamleev T. F., Measurement Techniques, 2021, vol. 64, no. 4, pp. 289–295. https://doi.org/10.1007/s11018-021-01931-3
10. Pashkovsky A. I., Algorithms for diagnosing defects based on hidden semi-Markov models, Sovremennye problemy nauki i obrazovaniya: elektronnyj zhurnal, 2014, no. 6, available at: http://science-education.ru/ru/article/ view?id=16495 (accessed: 10.06.2022). (In Russ.)
11. Khayrullin R. Z., Popenkov A. J., Distribution of controlling volumes of metrological support for the objectives of complex organizational and technical systems with the use of semiMarkov models, Proceedings of XI International Conference: Management of Large-Scale System Development, MLSD, 2018, 8551917, 5p.
12. Khayrullin R. Z., Kornev А. S., Kostoglotov А. А., Lazarenko S. V., Measurement Techniques, 2020, vol. 63, no. 9, pp. 680– 685. https://doi.org/10.1007/s11018-021-01839-y
13. Khayrullin R. Z., Volchkov A. A., Isaev Yu. A., Leonova K. S., Fufaeva O. V., Method of constructing estimates of measurement accuracy based on the use of a posteriori information, Vestnik metrologa, 2019, no. 4, pp. 18–21. (In Russ.)
14. Khayrullin R. Z., Application of the Bayesian approach in the tasks of constructing statistical estimates when processing test results of measuring equipment, Vestnik metrologa, 2020, no. 1, pp. 9–15. (In Russ.)
15. Khayrullin R. Z., Safonov A. A., Semi-Markov model of operation of radio measuring equipment with metrological support, Nauchnoe obozrenie, 2017, no. 19, pp. 167–170. (In Russ.)
Review
For citations:
Khayrullin R.Z. On optimizing operation and updating processes of measuring equipment f eet. Izmeritel`naya Tekhnika. 2022;(8):28-34. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-8-28-34
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