DYNAMIC LOAD SHARING PERFORMANCE UNCERTAINTY ANALYSIS METHOD FOR COMPOUND PLANETARY GEARBOX OF WIND TURBINE UNDER INFLUENCE OF MULTIPLE ERRORS

Ouyang Heng; Wang Yi; Hou Yanbing; Zhao Longda; Wang Fang; Duan Shuyong

doi:10.19912/j.0254-0096.tynxb.2024-1012

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (10) : 663-671. DOI: 10.19912/j.0254-0096.tynxb.2024-1012

DYNAMIC LOAD SHARING PERFORMANCE UNCERTAINTY ANALYSIS METHOD FOR COMPOUND PLANETARY GEARBOX OF WIND TURBINE UNDER INFLUENCE OF MULTIPLE ERRORS

Ouyang Heng¹, Wang Yi¹, Hou Yanbing², Zhao Longda¹, Wang Fang¹, Duan Shuyong¹

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Abstract

To enhance the load-bearing capacity and operational stability of wind turbine gearbox, this study investigates influence of multiple errors on the load sharing of compound planetary gearbox. A dynamic load sharing performance uncertainty analysis method for compound planetary gearbox of wind turbine under the influence of multiple errors is proposed in this paper. Firstly, the lumped parameter method is adopted to establish the dynamic load sharing performance analysis model of the compound planetary gearbox. Specifically, the mapping relationship between the multiple errors and the load sharing performance is apprehended. Secondly, the second-order derived λ-PDF is applied to model the uncertainty of the aforementioned errors, enabling a unified measurement of multiple errors under different distributions. Thirdly, the dimension reduction integration method is employed to solve the high-dimensional dynamic load sharing performance analysis model of the compound planetary gearbox. Finally, the second-order derived λ-PDF is used to precisely quantify the uncertainty of the load sharing performance of compound planetary gearbox. The example results indicate that the proposed method can effectively decompose the dynamic load sharing performance analysis problem containing multiple uncertain parameters into the dynamic load sharing performance analysis problem with multiple single uncertain parameters. Compared to the Monte Carlo method involving the large-sample statistical simulation, the proposed approach reduces the computational complexity of dynamic load sharing performance analysis while ensuring computational accuracy.

Key words

dynamic modelling / load sharing analysis / second-order derived λ-PDF / dimension reduction integral method / compound planetary gearbox of wind turbine

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Ouyang Heng, Wang Yi, Hou Yanbing, Zhao Longda, Wang Fang, Duan Shuyong. DYNAMIC LOAD SHARING PERFORMANCE UNCERTAINTY ANALYSIS METHOD FOR COMPOUND PLANETARY GEARBOX OF WIND TURBINE UNDER INFLUENCE OF MULTIPLE ERRORS[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 663-671 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1012

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