PSI - Issue 40

Ksenia Syzrantseva et al. / Procedia Structural Integrity 40 (2022) 418–425 Ksenia Syzrantseva at al. / Structural Integrity Procedia 00 (2022) 000 – 000

424

7

Fig. 7. Sampling histogram of the random value n and its density function P(n) under the heavy mode of bearing load.

Fig. 8. Sampling histogram of the random value n and its density function P(n) under the mode of bearing load when the load density function is bimodal (7). 4. Conclusion It was established that the actual laws of safety factor distribution differ significantly from normal distribution at determining the probability of bearing failure. Thus, for example, the failure probability of the rolling bearing 2207 by dynamic load capacity during the transition from the light to heavy loading mode with account of the actual law of the safety factor distribution changes from 3.874% to 14.017%, at the same time, in assumption of the normal law, the failure probability changes from 0.812% to 44.953%. Acknowledgements The authors would like to acknowledge the support of the National Project "Science and Universities" of the Ministry of Science and Higher Education of the Russian Federation, grant number FEWN-2021-0012. References Beizelman, R.D., Tsypkin, B.V., Perel, L.Ya., 1967. Rolling bearings. Reference book. Fifth edition, revised and supplemented . Мashinostroenie, Moscow, 563 p. Levanov, I., Zadorozhnaya, E., Kandeva, M., Lashmanov, V., Eschiganov, M., 2021. Predicting lifetime of internal combustion engine crankshaft journal bearings at the design stage. Journal of the Balkan Tribological Association 27, iss.1, 41 – 52. Tomaszewski, J., 2013. Stochastic model of durability of rolling bearings considering assembly inaccuracies. Solid State Phenomena 199, 165 169, https://doi.org/10.4028/www.scientific.net/SSP.199.165 Reshetov, D., Ivanov, A., Fadeev, F., 1990. Reliability of machines. Mir Publishers, Moscow, 316 p.