employee
Belgorod, Belgorod, Russian Federation
UDK 629.331 Автомобили. Автомобильный транспорт
BBK 393 Автодорожный транспорт
The study objective is to determine the level of operational reliability of the company's vehicles. The problem to which the paper is devoted is to develop an algorithm for calculating the influence of factors on the system of operational reliability of vehicles. Research methods are forecasting, experiment, mathematical modeling, statistical analysis, system analysis, machine aging theory, reliability theory, probability theory, control theory. The novelty of the work. A technique is developed to control operational reliability, which includes an algorithm for calculating the influence of factors on the operational reliability system. Study results. One of the main scientific tasks is to develop a technique for forecasting and assessing the level of operational reliability of vehicles as an indicator characterizing the ability of an enterprise to ensure the readiness of vehicles to fulfill their tasks. Conclusions: Implementation of the developed algorithm in motor transport enterprises makes it possible to determine the level of operational reliability of vehicles, including the provision of restoring the level of operational reliability to its maximum value.
transport, operation, reliability, maintenance, repair, service life
1. Ageev EV, Sevostyanov AL, Rodionov YuV. Problems and development prospects of technical maintenance of cars: monography. Penza: PGUAS; 2014.
2. Ametov VA. Improving the operational reliability of vehicle units by controlling and modifying lubricating oil [dissertation]. [Tyumen (RF)]: Industrial University of Tyumen; 2006.
3. Arinin IN, Konovalov SI, Bazhenov YuV. Technical operation of cars: textbook. Rostov on Don: Phoenix; 2004.
4. Baskov VN, Ignatov AV, Nevolin AA. Improving the safety of motor vehicles operation, taking into account driver reliability indicators. Transport and Technological Cars. 2023;3-4(82):83-89.
5. Borisov VV, Luferov VS. The method of multidimentional analisys and forecasting states of complex systerms and processes based on Fuzzy Cognitive Temporal Models. Systems of Control, Communications and Security. 2020;2:1-23. DOI:https://doi.org/10.24411/2410-9916-2020-10201.
6. Borisov VV, Senkov AV. Models of decision-making support based on risk situations. Fuzzy Systems and Soft Computing. 2014;9(1):19-38.
7. Byshov NV, Kokorev DG, Uspensky AI, Rembalovich KG, Yukhin AI. Improving the efficiency of technical operation of automobiles. Selsky Mekhanizator. 2015;7:38-39.
8. Gelenov AA, Sochevko TI, Spirkin VG. Automotive operational materials. Moscow: Akademiya; 2012.
9. Gorban MV, Pavlenko EA. Assessment techniques and methods for improving the operational reliability of mass air flow sensors of the engine. Dependability. 2017;17(4(63)):44-48.
10. Grigoriev MV, Demidov VV. The use of an effective strategy for maintenance and repair of vehicles as a way to increase their operational reliability. Engineering Solutions. 2020;6(16):9-14.
11. Zagorodny NA, Zayats YuA, Semykina AS. Methodology for determining effect of starting modes of internal combustion engine on change in engine performance characteristics. The Russian Automobile and Highway Industry Journal. 2024;21(1(95)):88-97.
12. Zaitsev EI. Industrial engineering at automobile transport enterprises. Moscow: Academy; 2008.
13. Zayats TM, Slutsky KA. System and information analysis of factors affecting the level of combat readiness of weapons of a fighting machine. Nauchny Reserv. Ryazan: RVVDKU. 2019;2(6):38-47.
14. Zayats YuA. Fundamentals of reliability theory: textbook. Ryazan: RVVDKU; 2013.
15. Zayats YuA, Gaydar SM, Zayats TM, Vlasov AO. Approaches to determining the technical condition of vehicles. Gruzovik. 2015;5:27-30.
16. Isaeva PN, Maksimov NR, Fataliev TA. Improving the operational reliability of cars. Bulletin of Scientific Conferences. 2021;3-3(67):59-60.
17. Karunin AL. Car construction. Electrical equipment. Diagnostic systems. Moscow: Goryachaya Liniya – Telecom; 2005.
18. Semykina AS, Zagorodny NA. Determination of the rational period of operation of quarry motor transport. Transport and Technological Cars. 2024;3-2(86):89-98.
19. Semykina AS, Zagorodny NA, Andreeva SO. Engineering processes of maintenance and diagnosis of cars. Proceedings of the International Scientific and Practical Conference, November 23, 2023: High-tech Technologies and Innovations (XV scientific readings), dedicated to the 170th anniversary of V.G. Shukhov birth; BSTU named after V.G. Shukhov, Belgorod; 2023.
20. Tokarev AN. Fundamentals of reliability theory and diagnostics: textbook. Barnaul: Publishing house of AltGTU; 2008.
21. Yahyaev NYa, Korablin AV. Fundamentals of reliability theory: textbook. Moscow: Academia; 2014.
