Gear wear is an inevitable consequence of friction and load during operation. However, the nonlinear and non-stationary nature of the vibration signals under variable speed conditions and their complex interaction with gear wear make it extremely challenging to extract wear-related features from them. Since the gear wear area visually indicates the severity of wear under varying speed conditions, we propose a vibration-based method for monitoring the wear area to quantify wear severity. First, non-stationary vibration signals are resampled in the angular domain using the multisynchronous extraction transform to mitigate the impact of rotational speed variations. Then, vibration components related to gear wear are extracted using the adaptive local synchronization fitting technique. Subsequently, a novel indicator, termed the cumulative comprehensive energy ratio, is constructed by integrating the gear’s multidimensional characteristics to monitor the wear area and visually assess wear severity. Finally, the relationships between the constructed indicator and the percentage of gear wear area under six different speed conditions are investigated on the CL-100 gear contact fatigue test rig. The results demonstrate that the proposed method effectively quantifies wear severity under variable speed conditions.

中文翻译：

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基于振动的齿轮磨损区域监测，用于定量评估变速条件下的磨损严重程度


齿轮磨损是运行过程中摩擦和负载的必然结果。然而，变速条件下振动信号的非线性和非平稳性以及它们与齿轮磨损的复杂相互作用使得从中提取磨损相关特征极具挑战性。由于齿轮磨损区域直观地表明了不同速度条件下磨损的严重程度，因此我们提出了一种基于振动的方法来监测磨损区域以量化磨损严重程度。首先，使用多同步提取变换在角度域中对非平稳振动信号进行重采样，以减轻转速变化的影响。然后，使用自适应局部同步拟合技术提取与齿轮磨损相关的振动分量。随后，通过整合齿轮的多维特性来构建一个新的指标，称为累积综合能量比，以监测磨损区域并直观地评估磨损严重程度。最后，在 CL-100 齿轮接触疲劳试验台上研究了构建的指示器与六种不同速度条件下齿轮磨损区域百分比之间的关系。结果表明，所提出的方法有效地量化了变速条件下的磨损严重程度。