employee
Sevastopol, Simferopol, Russian Federation
employee
Sevastopol, Simferopol, Russian Federation
employee
Sevastopol', Simferopol, Russian Federation
UDC 621.7
Russian Library and Bibliographic Classification 345
The reliability of the machine system is analyzed for small-size threading in blind deep holes. It is based on the design, kinematics and operating principle of MAXXmill 630 multi-operation center. Markov system for assessing the reliability of a machine is described, which gives basis for finding nodes that have a great influence on its reliability. An analytical Markov model is developed, where, based on the analysis of the state graph, the most vulnerable nodes of a multioperative machining center are identified. Analytical Markov, semi-Markov and simulation mathematical models are developed to analyze the reliability of the fixture system. The comparative analysis of Markov and semi-Markov systems depends on the system downtime ratios obtained. The results of the analytical semi-Markov and simulation models are verified, which confirm the reliability of the analytical semi-Markov model.
reliability, system, state graph, simulation model, verification
1. Klitanev VA, Medvedev AI. Reliability theory of complex systems. Moscow: Fizmatlit; 2010.
2. Dolgin VP, Kharchenko AO. Reliability of technical systems. Moscow: INFRA-M; 2015.
3. Kopp VYa, Obzherin YuE, Peschansky AI. Modeling of automated lines. Sevastopol: SevNTU Publishing House; 2006.
4. Kopp VYa. Modeling of automated production systems: monograph. Sevastopol: SevNTU; 2012.
5. Kopp VYa, Obzherin YuE, Peschansky AI. Stochastic models of automated production systems with temporary redundancy. Sevastopol: SevNTU; 2000.
6. Korolyuk VS, Turbin AF. Markov recovery processes in problems of system reliability. Kiev: Naukova Dumka; 1982.
7. Korolyuk VS. Stochastic models of systems. Kiev: Naukova Dumka; 1989.
8. Korolyuk VS, Turbin AF. Semi-Markov processes and their applications. Kiev: Naukova Dumka; 1976.
9. Zamoryonov MV, Kopp VYa, Zamoryonova DV. Method of modeling regenerating systems. Matematicheskoe Modelirovanie. 2018;30(6):134-144.
10. Kopp VYa, Zamoryonov MV, Obzherin YuE, Larin MYu. Using the trajectory method to build a semi–Markov model of the structure "Technological cell - Accumulator". Computing, Telecommunication and Control . 2016;247(3):23-34.
11. Zamoryonov MV, Kopp VYa, Zamoryonova DV, Vladimirova ES. Modeling the process of cloud data storage system functioning using the trajectory method. Automation and Measurement in Machine and Instrument Engineering. 2020;9(1):28-39.
