行星齿轮箱振动边缘的相关性分析

Libin Liu, M. Zuo, Xihui Liang
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引用次数: 1

摘要

时频分布方法在行星齿轮箱故障检测中得到了广泛的应用。TFD的目的是通过时频域的联合能量分布来表示信号。正性是tfd最重要的性质之一。基于copula的正TFD构造方法利用了时间边际、频率边际和边际间的依赖结构。在本研究中,明确地研究了时间边际和频率边际之间的依赖关系,数值和图形基于秩的统计。基于秩的统计量对于边缘分布的单调变换是不变的。研究表明,时间边际和频率边际之间确实存在相关性。研究结果为进一步研究基于copula的某行星齿轮箱振动TFD构建奠定了理论基础。此外,研究结果表明,随着齿轮箱退化程度的增加,肯德尔τ的绝对值也随之增大。这说明故障越严重,依赖性越强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependence analysis of planetary gearbox vibration marginals
Time-frequency distribution (TFD) methods have been widely used for planetary gearbox fault detection. The aim of TFD is to represent a signal by a joint energy distribution in the time-frequency domain. Positivity is one of the most important properties for TFDs. Copula-based positive TFD construction methods utilize the time marginal, the frequency marginal and the dependence structure between the marginals. In this study, the dependence between the time marginal and the frequency marginal is studied explicitly by numerical and graphical rank-based statistics. Rank-based statistics are invariant with monotone transformations of the marginal distributions. This study demonstrates that the dependence does exist between the time marginal and the frequency marginal. The findings build one theoretical foundation for further study on copula-based TFD construction for one planetary gearbox vibration. Moreover, the results show that with the increase of the gearbox degradation, the Kendall's Tau's absolute value increases as well. This indicates that the more severe the fault is, the stronger the dependence would be.
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