20.500.12556/RUL-106626 Extension of REBMIX algorithm to von Mises parametric family for modeling joint distribution of wind speed and direction A statistical analysis of the wind speed and wind direction serves as a solid foundation for the wind-induced vibration analysis. The probabilistic modeling of wind speed and direction can effectively characterize the stochastic properties of wind field. The joint distribution model of wind speed and direction involves a circular distribution and has a multimodal characteristic. In this paper, the finite mixture distribution model is introduced and used to represent the joint distribution model that is comprised of the mixture Weibull distributions and von Mises distributions. An extended parameters estimation algorithm for multivariate and multimodal circular distributions is proposed to construct the joint distribution model. The proposed algorithm estimates the component parameters, mixture weight of each component and the number of components successively by an iterative process. The major improvement is accomplished by adding a circular distribution model. The effectiveness of the proposed algorithm is verified with numerical simulations and one-year field monitoring data and compared with the expectation maximization algorithm-based angular-linear approach in terms of the Akaike%s information criterion and computing time. The results indicate that the finite mixture model represents the joint distribution model of wind speed and direction well and that the proposed algorithm has a good and time-saving performance in parameter estimation for multivariate and multimodal models. structural health monitoring wind field characteristics joint probability density function mixture estimation REBMIX algorithm spremljanja stanja strukture značilnosti polja vetra povezana gostota porazdelitve verjetnosti ocenjevanje mešanih porazdelitev REBMIX algoritem true false true Angleški jezik Slovenski jezik Članek v reviji 2019-03-08 10:29:54 2019-03-08 10:29:58 2025-03-04 10:52:33 0000-00-00 00:00:00 2019 0 0 Str. 1134-1145 Vol. 183 Mar. 2019 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2021-02-08 519.2(045) 0141-0296 10.1016/j.engstruct.2018.08.035 16469019 7750666 RAZ_Ye_X._W._i2019.pdf RAZ_Ye_X._W._i2019.pdf 1 EBCF2F36FEA4CCB681EB0AE57877E8A6 39fb40097111d13df1686927bd27a27edaaf9024688bb030e29d8ca7fb1293c3 5cbc122e-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=117430 https://www.sciencedirect.com/science/article/pii/S0141029618303584?via%3Dihub#! 1 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=117429 Fakulteta za strojništvo 0 0 0