首页> 外文会议>International Conference on Quality, Reliability, and Maintenance(QRM 2004); 20040401-20040402; Oxford; GB >Bearing condition monitoring based on the inter- arrival time distribution of acoustic emission events - experiment
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Bearing condition monitoring based on the inter- arrival time distribution of acoustic emission events - experiment

机译:基于声发射事件之间到达时间分布的轴承状态监测-实验

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It was asserted in Part 1 that the inter-arrival times of acoustic emission (AE) events that occur during bearing operation followed a statistical Weibull distribution characteristised by the shape parameter γ, characteristic life θ and guaranteed life t_0. In Part 2, the three original Weibull parameters were estimated from the distribution created from a sample of inter-arrival times of acoustic emission events collected over a time period of about 30 seconds. The estimated values were then used to calculate the corresponding STL and L_(63). It was observed that at the bearing rotating speed of 13.8 rpm, of radial loads from 0kN up to 16kN, and of bearing wear levels from new to failure, the STL and L_(63) showed a hyperbolic relationship. Among the three influencing variables, the effects of bearing wear on both STL and L_(63) were the strongest. In every instance, as the level of wear increased, STL increased whilst L_(63) decreased. When visualised on a graph of STL versus L _(63), the point corresponding to the bearing condition moved up the hyperbolic curve.
机译:在第1部分中断言,轴承运行过程中发生的声发射(AE)事件的到达间隔时间遵循以形状参数γ,特征寿命θ和保证寿命t_0为特征的统计威布尔分布。在第2部分中,从在大约30秒的时间内收集的声发射事件的到达间隔时间样本中创建的分布中估计了三个原始的Weibull参数。然后,将估计值用于计算相应的STL和L_(63)。可以看出,在轴承转速为13.8 rpm,径向载荷从0kN到16kN以及轴承磨损水平从新到失效的情况下,STL和L_(63)呈双曲线关系。在这三个影响变量中,轴承磨损对STL和L_(63)的影响最大。在每种情况下,随着磨损程度的增加,STL会增加,而L_(63)会降低。当在STL对L _(63)的图表上可视化时,对应于轴承状况的点沿双曲线向上移动。

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