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Rolling bearing defect severity evaluation using recurrence plot entropy

机译:基于递归图熵的滚动轴承缺陷严重性评估

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This paper presents a new approach to evaluate rolling bearing defect severity based on Recurrence Plot (RP) entropy. As a quantitative measure, the RP entropy is calculated from the probability distribution of the diagonal line length in the recurrence plot, where such plot graphically depicts a system's dynamics and provides a global picture of the autocorrelation in a time series over all available time-scales, in the reconstructed phase space, to characterize changing dynamics of the system. The experimental results have indicated that, as the working condition of the bearing deteriorates due to the initiation and/or progression of the structural damages, the frequency information contained in the vibration signal becomes increasingly complex, leading to the increase of the RP entropy. Therefore, the RP entropy can serve as an effective parameter for defect severity evaluation of rolling bearings.
机译:本文提出了一种基于递归图(RP)熵评估滚动轴承缺陷严重性的新方法。作为定量度量,RP熵是根据递归图中对角线长度的概率分布来计算的,其中该图以图形方式描绘了系统的动力学,并提供了在所有可用时标上的时间序列中的自相关的全局图。在重建的相空间中,以表征系统不断变化的动力学特性。实验结果表明,随着轴承的工作条件由于结构破坏的开始和/或发展而恶化,振动信号中包含的频率信息变得越来越复杂,从而导致RP熵的增加。因此,RP熵可以作为评估滚动轴承缺陷严重性的有效参数。

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