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首页> 外文期刊>Shock and vibration >Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method
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Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method

机译：基于多尺度Tsallis置换熵方法的旋转机械性能降级评估

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Methods based on vibration analysis are currently regarded as the most conclusive means for fault diagnosis and health prognostics in rotary machinery. However, changing working conditions mean that the vibration signals originating from rotary machinery exhibit different levels of complexity. This complexity leads to increased difficulty in constructing health indicators (HIs). In this paper, we propose a multiscale Tsallis permutation entropy (MTPE) to construct the HIs of rotary machinery under different working conditions. MTPE values are a function of an entropy index and scale, which have the universality for handling the complexity of a permutated time series. The health condition of the rotary machinery was effectively represented by the MTPEs in conditional monitoring; the initial point of the unhealthy stage was found using the interval. This was set as the alarm threshold according to the varying HI trend. Once this was established, dividing the stages into two-stage health stages (HS) was straightforward. Using a rolling bearing, a run-to-failure experiment was conducted and results suggested that the proposed method effectively assessed the status of the rotary machinery. Taken together, this study provided a novel complexity measure based on a methodology for constructing the HIs of rotary machinery and enriches conditional monitoring theory.
机译：目前，基于振动分析的方法被认为是旋转机械中的故障诊断和健康预测的最重要方法。然而，改变工作条件意味着源自旋转机械的振动信号表现出不同的复杂程度。这种复杂性导致构建健康指标（他）的难度增加。在本文中，我们提出了一种多尺度Tsallis排列熵（MTPE），以在不同的工作条件下构建他的旋转机械。 MTPE值是熵指数和比例的函数，其具有用于处理流动时间序列的复杂性的普遍性。旋转机械的健康状况由条件监测中的MTPE有效地表示;发现不健康阶段的初始点使用间隔。根据不同的HI趋势，将其设置为警报阈值。一旦建立了这一点，将阶段划分为两级健康阶段（HS）是直截了当的。使用滚动轴承，进行了失败的实验，结果表明该方法有效地评估了旋转机械的状态。这项研究总结在一起，提供了一种基于用于构建他旋转机械的方法的新型复杂度措施，并丰富有条件监测理论。

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