Abstract Rolling bearing skidding can seriously affect the service life and aggravate the performance degradation process of rolling bearings. Once skidding occurs under variable speed and load, the movement of rolling elements relative to the inner and outer rings is no longer strictly pure rolling. As a result, the speed of rolling bearing cage becomes more complex. In this case, fault signature extraction tends to be more difficult, especially under the condition of variable speed. Although order tracking can solve the problem induced by variable speed to a certain extent, order deviation and vagueness question in envelope order spectra caused by skidding still needs to be further explored. In view of this, an order tracking method based on accurate estimation of impulse envelope phase is proposed. This method can restore the non-periodic impulses caused by skidding to the periodic ones so as to enhance the fault signatures. Besides, the method is capable of evaluating the severity of skidding of rolling bearings by calculating skidding rate, which will be useful for evaluation of bearing performance degradation. Finally, the proposed method is validated by simulation signal and real data of faulty rolling bearings. The results show that the proposed method is efficient to enhance the fault signature and evaluate the skidding rate simultaneously.

中文翻译：

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基于脉冲包络信号相位估计的滚动轴承故障特征增强与打滑评估

摘要 滚动轴承打滑会严重影响滚动轴承的使用寿命，加剧滚动轴承的性能退化过程。一旦在变速和负载下发生打滑，滚动体相对于内外圈的运动就不再是严格的纯滚动。因此，滚动轴承保持架的速度变得更加复杂。在这种情况下，故障特征提取往往更加困难，尤其是在变速条件下。虽然阶次跟踪可以在一定程度上解决变速引起的问题，但是滑移引起的包络阶次谱中阶次偏差和模糊性问题还有待进一步探索。为此，提出了一种基于脉冲包络相位精确估计的阶次跟踪方法。该方法可以将滑移引起的非周期性脉冲恢复为周期性脉冲，从而增强故障特征。此外，该方法能够通过计算打滑率来评估滚动轴承打滑的严重程度，这将有助于轴承性能退化的评估。最后，通过仿真信号和故障滚动轴承的真实数据对所提出的方法进行了验证。结果表明，所提出的方法可以有效地增强故障特征并同时评估打滑率。通过仿真信号和故障滚动轴承的真实数据验证了该方法的有效性。结果表明，所提出的方法可以有效地增强故障特征并同时评估打滑率。通过仿真信号和故障滚动轴承的真实数据验证了该方法的有效性。结果表明，所提出的方法可以有效地增强故障特征并同时评估打滑率。