SELECTION AND JUSTIFICATION OF METHODS AND MATHEMATICAL MODELS OF EQUIPMENT WEAR AND REPLACEMENT
https://doi.org/10.51955/2312-1327_2023_1_27
Abstract
The authors develop and show the practical applicability of mathematical models for assessing the wear of equipment. According to the property of fixed assets, which equipment belongs to, it has to be replaced as a result of wear and tear. In this connection, the relevance of the conducted research is caused by the search of models for assessing their state at a given moment of time. The complexity of developing such models is due to the fact that the characteristics of equipment performance are random values and random functions. When planning the work of the enterprise it is necessary to take into account the statistical characteristics of the survivability of the equipment. Only in this way it is possible to foresee in advance the amount of renewable equipment, the order of preventive maintenance and the terms in which equipment should be replaced to ensure uninterrupted implementation of the production program without excessive investment expenditures of the enterprise.
About the Authors
N. S. Khersonsky
SOYUZCERT LLC
Russian Federation
Russian Federation
Nikolai S. Khersonsky, candidate of technical sciences, General Director
7, building 30, Viktorenko St. Moscow, 125167
7, building 30, Viktorenko St. Moscow, 125167
L G. Bolshedvorskaya
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Ludmila G. Bolshedvorskaya, Doctor of Technical Sciences Professor of the Department of BP&
Kronstadtsky boulevard, 20 Moscow, 125993
References
1. Bakhvalov N. S., Zhidkov N. P., Kobelkov G.M. (2020). Numerical Methods. Vol.1. Moscow: Laboratory of Knowledge. 636 p. [in Russian]
2. Bartlett M. S. (1990). Introduction to the theory of random processes. Moscow: High School. 376 p. [in Russian]
3. Davenport W. B... Ruth W. L. (1960). Introduction to the Theory of Random Signals and Noise. Moscow: Foreign Literature Publishing House. 470 p. [in Russian]
4. Fikhtenholz G. M. (1966). Course of differential and integral calculus. vol.1. Moscow: Nauka Publishing House. 656 p. [in Russian]
5. Gnedenko B. V. (1954). Course of probability theory. Moscow: Gostekhizdat. 447 p. [in Russian]
6. Gribanova O. A. (2014). Problems of territory development. Volgograd Scientific Center RAS. 4(72): 25-33. [in Russian]
7. Igonin V. V. (2012). Minimization of the "human factor" in determining the depreciation (impairment) of machinery and equipment. Property Relations in the Russian Federation. 2 (125): 12-19. [in Russian]
8. Kantorovich L.V., Krylov V. I. (1962). Approximated methods of higher analysis. Moscow: State Publishing House of Physical and Mathematical Literature. 708 p. [in Russian]
9. Kirischev O. R. (2009). Theoretical substantiation of the method of marginal efficiency to determine the wear of machinery and equipment. Bulletin of the Don State Technical University. 52: 118-123. [in Russian]
10. Kramer H. (1975). Mathematical Methods of Statistics. Moscow: Mir. 648 p. [in Russian]
11. Kulakov P. A., Rubtsov A. V., Afanasenko V .G., Zubkov O. E., Ivanova K. K.. Sharipova R.R. (2020). Choice of determining parameters of the technical condition affecting the residual service life of heat exchange equipment. Proceedings of Tomsk Polytechnic University. Engineering of Georesources. vol. 331, 1: 97-105. [in Russian]
12. Levin B. R. (1957). Random Process Theory and its Application in Radio Engineering. Moscow: Soviet Radio Publishing House. 492 p. [in Russian]
13. Mironov A. N., Novikov A. N., Malakhov A. V. (2016). Individual-group prediction of residual life of measuring systems by economic criterion. Science-intensive technologies in Earth space research. v.8. 4: 25-30. [in Russian]
14. Mityushov A. A. (2010). Modeling of Wear of Thermal Energy Equipment Elements. Bulletin of Ivanovo State Energy University. 3: 12-15. [in Russian]
15. Mordasov V. I., Sazonnikova N. A., Shorin V. p. (1999). Evaluation of Surface Damages by Optical Method. Izvestia of Samara Scientific Center of Russian Academy of Sciences. 2: 270-[in Russian]
16. Myazova Y. S., Marchenko A. I. (2010). Wear calculation methods in estimating the cost of machinery and equipment. Management of organizational and economic systems: modeling of interactions, decision-making. Collection of scientific articles. Under the editorship of D.A. Novikov. Samara. p. 45-50. [in Russian]
17. Novoselov A. L., Zheltenkov A.V. (2018). Modeling of Equipment Condition Assessment from the Position of Risk Management. Bulletin of Moscow State Regional University. Series: Economics. 4: 75-88. [in Russian]
18. Smolyak S. A. (2017). On probabilistic models for assessing the residual service life and wear of machinery and equipment. Property Relations in the Russian Federation. 2 (185): 75-87. [in Russian]
Review
For citations:
Khersonsky N.S., Bolshedvorskaya L.G. SELECTION AND JUSTIFICATION OF METHODS AND MATHEMATICAL MODELS OF EQUIPMENT WEAR AND REPLACEMENT. Crede Experto: transport, society, education, language. 2023;(1):27-41. (In Russ.) https://doi.org/10.51955/2312-1327_2023_1_27
Views:
11
JATS XML
Email this article 