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Vibration response and fault characteristics analysis of gear based on time-varying mesh stiffness

机译:基于时变网刚度的齿轮振动响应和故障特性分析

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Gears are prone to failures, which are difficult to detect in the early stage. In this study, the time-varying mesh stiffness of gears teeth with different crack lengths is calculated, and the effects of spalling with different widths, lengths, and locations on the time-varying mesh stiffness of gears are investigated. Considering the time-varying mesh stiffness and sliding friction between teeth, a dynamic gear model with six degrees of freedom is established. Then, the dynamic displacement response of the gear system in the vertical direction is solved by simulation. Due to the difficulty of extracting early fault features, a method of stiffness segmentation is proposed. A short-time Fourier transform is applied to each signal corresponding to the stiffness segment. Changes in the dynamic responses in the time domain, frequency domain, and time-frequency domain with the extension of gear fault are examined. Finally, the trends of various statistical indicators in the time domain and frequency domain with respect to the level of fault extension are compared and analyzed. The results show that the impulse factor is sensitive to fault characteristics. (C) 2020 Elsevier Ltd. All rights reserved.
机译:齿轮容易出现故障,在早期阶段难以检测。在该研究中,计算了具有不同裂缝长度的齿轮齿的时变网刚度,并研究了用不同宽度,长度和位置拼接到齿轮的时变网刚度上的效果。考虑到齿之间的时变网刚度和滑动摩擦,建立了具有六个自由度的动态齿轮模型。然后,通过仿真解决垂直方向上的齿轮系统的动态位移响应。由于提取早期故障特征的难度,提出了一种刚度分割方法。将短时傅里叶变换应用于对应于刚度段的每个信号。检查了时域,频域和时频域中动态响应的变化,随着齿轮故障的扩展。最后,比较和分析了时域和频域中各种统计指标的趋势和分析。结果表明,脉冲因子对故障特性敏感。 (c)2020 elestvier有限公司保留所有权利。

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