基于多尺度熵的滚动轴承故障程度评估

张龙;黄文艺;熊国良

振动与冲击 ›› 2014, Vol. 33 ›› Issue (9) : 185-189.

PDF(1551 KB)
PDF(1551 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (9) : 185-189.
论文

基于多尺度熵的滚动轴承故障程度评估

  • 张龙,黄文艺,熊国良
作者信息 +

Assessment of rolling element bearing fault severity using multi-scale entropy

  • ZHANG Long, HUANG Wen-yi, XIONG Guo-liang
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摘要

轴承故障严重程度评估是实现视情维修的基础。滚动轴承出现故障时,其振动信号将表现出非平稳性和非线性。基于多尺度熵方法,论文构建了一个同时考虑多个尺度上熵值均值大小和熵值变化趋势的轴承故障程度描述新指标——多尺度熵均偏值(PMME)。仿真实验和轴承疲劳实验数据分析表明该指标能够较早地发现轴承早期故障,并且能很好地跟踪故障发展趋势。

Abstract

Quantitative identification of bearing fault severity is the basis of condition-based maintenance. The vibration signals will exhibit nonstationarity and nonlinearity in the presence of bearing faults. On the base of the multi-scale entropy, a new index quantitatively describing bearing fault severity is constructed which takes into account the mean value and the variations of the entropies over multiple scales. The new index is termed Partial Mean of Multi-scale Entropy (PMME). Simulation and experimental results show that the new index is able to detect incipient bearing fault and trend the fault development well.

关键词

故障程度评估 / 故障诊断 / 多尺度熵

Key words

Assessment of fault severity / fault diagnosis / multi-scale entropy

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导出引用
张龙;黄文艺;熊国良. 基于多尺度熵的滚动轴承故障程度评估[J]. 振动与冲击, 2014, 33(9): 185-189
ZHANG Long;HUANG Wen-yi;XIONG Guo-liang . Assessment of rolling element bearing fault severity using multi-scale entropy[J]. Journal of Vibration and Shock, 2014, 33(9): 185-189

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