为研究齿轮箱内部零件与系统整体可靠性变化,以新疆达坂城风电场某2 MW风力发电机传动齿轮箱为研究对象,利用风电场年监测风速基于双参数威布尔分布建立风速模型作为齿轮箱的随机外部激励,建立齿轮-轴-轴承动态耦合分析模型,将齿轮副时变啮合刚度与误差作为内部激励,对齿轮副啮合力进行求解。综合考虑各齿轮零件接触与弯曲两种失效模式,建立各齿轮Gamma强度退化模型与相关性功能函数。在基础的Copula模型中引入时间变量影响,通过对多种Copula函数进行选择,根据不同齿轮功能函数联合分布形态建立对应的混合Copula模型。采用遗传算法对混合模型中未知参数进行求解,获得传动系统中各齿轮零件的动态可靠度。本研究对风力发电机的维护具有一定指导意义。
Abstract
Gearbox is one of the important element for wind turbine transmission system. To analysis the overall reliability of the gearbox transmission system, the gearbox transmission system of a 2 MW wind turbine which operate in the Dabancheng wind farm in Xinjiang was studied. A stochastic wind speed model as the external excitation was established by using the annual wind speed data of the wind farm. A gear-axle-bearing dynamics model of the transmission system was referenced to solves the meshing force of gear pairs by taking time-varying mesh stiffness and transmission error as the internal excitation. The Gamma strength degradation model and correlation function of each gear were established by considering the failure modes of contact and bending. Based on introducing the influence of time variable into the basic Copula model and selecting multiple Copula functions, the corresponding mixed Copula model was developed according to the joint distribution of different gear performance functions. In order to obtain the dynamic reliability of each gear part in the transmission system, a genetic algorithm was used to solve the unknown parameters in the mixed Copula model. The results of study has significant instruction for the maintenance of wind turbines.
关键词
风力发电机 /
齿轮传动 /
随机模型 /
相关性方法 /
可靠性 /
Copula
Key words
wind turbine /
gear transmissions /
stochastic model /
correlation method /
reliability /
Copula
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基金
新疆维吾尔自治区昌吉州科技计划（2023Z02）; 新疆维吾尔自治区科技发展计划（2022LQ03015）; 新疆维吾尔自治区重点研发计划 项目（2022B01017-1）; 中央引导地方科技发展专项项目（ZYYD2024QY04）
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