2022
DOI: 10.1016/j.oceaneng.2021.110230
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Potential use of Bayesian Networks for estimating relationship among rotational dynamics of floating offshore wind turbine tower in extreme environmental conditions

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Cited by 19 publications
(3 citation statements)
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“…Through the studies, it can be seen that previous studies on sun visors were still not perfect, the research on the wind load of sun visors was different, and the feasibility analysis of sun visor structures under extreme wind environments was even more lacking. Therefore, for modern buildings, this research can play a guiding role in the design and application of cantilevered external shading components under extreme wind conditions [24].…”
Section: Introductionmentioning
confidence: 99%
“…Through the studies, it can be seen that previous studies on sun visors were still not perfect, the research on the wind load of sun visors was different, and the feasibility analysis of sun visor structures under extreme wind environments was even more lacking. Therefore, for modern buildings, this research can play a guiding role in the design and application of cantilevered external shading components under extreme wind conditions [24].…”
Section: Introductionmentioning
confidence: 99%
“…A two-stage Failure Mode and Effect Analysis (FMEA) was proposed by Li et al (2020b) to reduce the uncertainty of FMEA results. Rostam-Alilou et al (2022) also applied the Bayesian Network to predict the relationships and interactions among the dynamic responses of FOWT, which could be used to improve the structural stability of the FOWT. Zhao and Dong (2021) investigated the long-term system reliability for semisubmersible platform mooring structures, and the proposed method was shown to be effective compared with traditional environmental contour methods.…”
Section: Introductionmentioning
confidence: 99%
“…It showed that the tower buckling dominates the component failure probability. Zhang et al (2022) investigated the effects of mooring line failure of a semi-submersible FOWT, including gearbox analysis, and the results revealed relatively small changes in the internal gear forces. Ghane et al (2018) used statistical fault diagnosis to evaluate the condition of the bearing by the main bearing and nacelle axial acceleration.…”
Section: Introductionmentioning
confidence: 99%