【摘要】 为提高风电齿轮箱承载能力与运转平稳性，探明多类型误差对齿轮箱均载性能的影响规律，提出多误差影响下复合行星风电齿轮箱均载性能不确定性分析方法。首先，采用集中参数法建立复合行星风电齿轮箱动态均载性能分析模型，确定各类误差与齿轮箱均载性能之间的映射关系；其次，利用二阶衍生λ-PDF对上述误差进行不确定性建模，实现不同分布下多类型误差的统一度量；然后，运用降维积分法对各类误差与齿轮箱均载性能之间的映射关系进行求解；最后，采用二阶衍生λ-PDF对风电齿轮箱均载性能的不确定性进行准确度量。研究结果表明：所提方法将包含多个不确定性参数的齿轮箱均载性能分析问题分解为多个包含单一不确定性参数的齿轮箱均载性能分析问题，并采用统计矩的形式传递不确定性信息，相较于蒙特卡洛的大样本统计模拟方法，既提高了求解效率又保证了计算精度。更多还原

【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 highdimensional 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.更多还原