20.500.12556/RUL-121869 Modelling of load spectra containing clusters of less probable load cycles When the load is stochastic and the service life is a consequence of the fatigue process, the loading histories are transferred into load spectra using rainflow counting. Once the empirical densities of load cycles are known, their probability density is estimated. Here, different probability density mixtures and algorithms for their estimation have been compared according to their ability to model rainflow matrices. The estimated probability density should also consider loading cycles with a small probability. The main scientific contribution of this article is that procedures were identified, which enable more thorough consideration of those clusters with less probable load cycles. rainflow counting probability density function load spectrum finite mixture distributions fatigue life rainflow števna metoda gostota porazdelitve verjetnosti obremenitveni spekter končna mešanica porazdelitev doba trajanja true false true Angleški jezik Slovenski jezik Neznano 2020-11-04 14:44:45 2020-11-04 14:44:51 2022-09-02 04:01:24 0000-00-00 00:00:00 2021 0 0 Str. 1-10 Vol. 143 Feb. 2021 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2022-11-04 519.876.5(045) 0142-1123 10.1016/j.ijfatigue.2020.106006 35679235 25643520 RAZ_Nagode_Marko_2020.pdf RAZ_Nagode_Marko_2020.pdf 1 C085A0A354F9C2F24A32F4C839ED9C72 7d06cd1858c8cba0002075296d40695bb5b5bd8423cbf6befeb810edd999ed6e 03b23fb6-a1bb-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=137021 https://www.sciencedirect.com/science/article/abs/pii/S0142112320305387 1 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=136965 Fakulteta za strojništvo 0 0 0