Generate QR code
Open Access
Subscription Access
Digital assessment of reliability of production system of power subjects
https://doi.org/10.24223/1999-5555-2018-11-2-109-116
Abstract
The article outlines scientifi c approaches to the formation of digital technologies for managing the main factors of energy production. The assessment of the state of the production system is based on the index of the state of the production system of the power facility. Its target function is formulated, including dimensionless indices of fuel supply, the state of material and human capital assets. The author has formulated and solved the problem of finding the optimal values of a function using the mathematical apparatus of fuzzy sets. The indices characterizing the factors of production are defined as the solution of the optimization problem using ranking by values and weight coefficients determined by Saaty’s method. The determination of the fuel supply index and the technical condition of assets is carried out on the basis of the methods adopted in the energy sector, taking into account their actual state, provided that the reliability of the functioning of the UES is ensured. The article discusses in detail the technologies for assessing the company's human capital, shows the investment benefits of its development, presents the rational ranges of these investments, and provides statistical data that support the theoretical conclusions.
About the Author
S. V. Mishcheryakov
NP «CTSCenter UES»
Russian Federation
Russian Federation
Krasnokazarmennaya street, 13P, 111250, Moscow
References
1. www.profilib.com: Glazyev S. Y., Kara-Murza S. G., Batchikov S. A., White-book. Economic reforms in Russia 1991 – 2001. 2002;: 19 – 20. (In Russ.)
2. Decree of the Government of the Russian Federation No. 1401 of December 19, 2016;: 2 – 10. (In Russ.)
3. Order of the Ministry of Energy of the Russian Federation of July 26, 2017 No. 676 "On approval of the methodology for assessing the technical condition of the main technological equipment and power lines of power plants and electrical networks" 2017;: 1 – 241. (In Russ.)
4. Grabchak E. P. Assessment of the technical condition of power equipment in a digital economy. // Reliability and safety of power engineering 2017; 4(10): 268 – 274(10). (In Russ.)
5. Kovalevich O. M. Safety in the technogenic sphere: Publishing house MPEI 2011;: 1 – 246. (In Russ.)
6. Ershov G.A., Mishcheryakov S.V. "Criterial assessment of the quality of management decisions based on fuzzy logic in technogenic systems" 1998;: 3 – 5. (In Russ.)
7. Bellman R., Zade L. Decision-making under vague conditions. / Transl. with English 1976,: 172 – 215. (In Russ.)
8. Bobrov A. F., Kosenkov A. A., Sedin V. I., Shcheblanov V. Y. Assessment of the functional safety of dangerous production workers. Collection of reports of the International Scientifi c and Practical Conference "The human factor of the energy of the XXI century: quality, reliability, health", (6 – 7 April 2017) 2017,: 136 – 144. (In Russ.)
9. Kovalevich O. M. Analysis of uncertainties in the consideration of projects and decision-making / Problems of security and emergency situations 2013; 4: 15 – 21. (In Russ.)
10. Ruzavin G. I. Probability and plausible reasoning // Philosophy of Science. Issue 2. Epistemological and logical-methodological problems. 1996;: 163 – 19.1. ( In Russ.)
Review
For citations:
Mishcheryakov S.V. Digital assessment of reliability of production system of power subjects. Safety and Reliability of Power Industry. 2018;11(2):109-116. (In Russ.) https://doi.org/10.24223/1999-5555-2018-11-2-109-116
Views:
826
Email this article 
