20.500.12556/RUL-133020 Failure modes and life prediction model for high-speed bearings in a through-flow universal motor The focus of this study was the empirical modelling of the high-speed bearings life and failure modes of a through-flow universal motor. An approach was used facilitating predictions of the life through-range of various conditions. The model estimates bearing life for the survival probability of 50% – L50. It influences parameters such as bearing temperature, speed factor, equivalent load, grease fill amount, type of oil, type of bearing cage, type of seals, tolerance class, and side of the motor, all of which are considered in the model. Initial empirical data consisted of 4672 test populations, involving 38,021 vacuum cleaner motors. Strict filtering requirements of all the available test data resulted in 170 final populations, consisting of 1385 tested and 638 failed bearings, which were used for building a Weibull database and for developing the models. The paper’s key contributions are the empirical models gained with multiple linear regression and the obtained database of tested bearings. bearing life forecasting bearing failure modes through-flow universal motor vacuum cleaner motor grease deterioration Weibull probability function censored data linear regression napovedovanje življenjske dobe ležajev načini okvare ležaja univerzalni motor s pretokom motor sesalnika poslabšanje maziva Weibullova verjetnostna funkcija očiščeni podatki linearna regresija true false true Angleški jezik Slovenski jezik Članek v reviji 2021-11-08 07:16:59 2021-11-08 07:17:06 2023-05-04 13:35:03 0000-00-00 00:00:00 2021 0 0 17 str. Vol. 128, art. 105535 Oct. 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.822:621.313.14 1350-6307 10.1016/j.engfailanal.2021.105535 68629507 1-s2.0-S1350630721003952-main.pdf 1-s2.0-S1350630721003952-main.pdf 1 CC64461717D4CF9DD109C70C5AAC9D53 c7f165aed2966a438ed3fd2f41ea4ddbaf3fd9f6c61292d5db7320419f84c28a 968813c7-cfb3-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167681 https://www.sciencedirect.com/science/article/pii/S1350630721003952 1 71a12203-405b-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=150771 Fakulteta za strojništvo 0 0 0