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Dynamic analysis of wind turbine gearboxes with unknown-but-bounded parameters under random wind excitation

机译:随机风激励下参数未知但有界的风力发电机齿轮箱的动力学分析

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摘要

Dynamic analysis of the gearbox system plays a significant role in wind turbine fault diagnosis. The dynamic behaviour of the gearbox system may be affected by the unavoidable uncertainties of system parameters and external excitations. The dynamic characteristics of the wind turbine gearbox system with uncertainties subjected to random wind excitation are studied. A lumped-parameter model of a multistage gearbox system under transmission errors, time-varying mesh stiffness and random wind excitation is established. By using the Chebyshev inclusion function and the Welch method, an interval method for predicting the interval bounds of power spectral density for system responses is proposed. The accuracy of the presented method is verified by comparing with the scanning method. As an example, the effects of different uncertain parameters on the stochastic responses of system are investigated. The result illustrates the effectiveness of the proposed method. It is also shown that the dynamic responses of the system are sensitive to the uncertain stiffness parameters at the intermediate and high-speed stages. The result is of significant importance for the fault diagnosis in the wind turbine drive train.
机译:变速箱系统的动态分析在风力涡轮机故障诊断中起着重要作用。变速箱系统的动态行为可能会受到不可避免的系统参数和外部励磁不确定性的影响。研究了随机风激励下具有不确定性的风力发电机齿轮箱系统的动态特性。建立了多级变速箱系统在传动误差,时变网格刚度和随机风激励下的集总参数模型。通过使用切比雪夫包含函数和韦尔奇方法,提出了一种用于预测系统响应功率谱密度的区间边界的区间方法。通过与扫描方法比较,验证了所提方法的准确性。例如,研究了不同不确定参数对系统随机响应的影响。结果说明了该方法的有效性。还表明,系统的动态响应对中,高速阶段不确定的刚度参数敏感。该结果对于风力涡轮机传动系统的故障诊断具有重要意义。

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