应用Hilbert-Huang变换的齿轮磨损故障诊断研究

提出了一种基于H ilbert-Huang变换的齿轮磨损故障诊断的新方法。H ilbert-Huang变换是先把时间序列信号,用经验模态分解方法分解成不同特征时间尺度的固有模态函数,然后经过H ilbert变换获得频谱的信号处理新方法。介绍了该方法的基本原理,并将H ilbert-Huang变换应用于齿轮箱中齿轮磨损故障诊断的研究,通过选取表征齿轮磨损故障的IM F分量进行边际谱和能量谱分析,就可提取齿轮故障振动信号的特征。齿轮故障实验信号的研究结果表明,H ilbert-Huang变换时频分析方法,能有效地诊断齿轮的磨损故障。

Research on Faults Diagnosis of Gear Wear Based on Hilbert-Huang Transform

A new method to fault diagnosis of gear wear based on Hilbert-Huang transform is presented.The main objective of Hilbert-Huang transform is to separate the time series data into components with different time scale,using the empirical mode decomposition.Then the Hilbert transform is applied to each intrinsic mode function and the time-frequency distribution is obtained.The method is introduced in detail.The Hilbert-Huang transform is applied to the faults diagnosis of the gear wear.In order to identify the faults feature,the marginal spectrum and energy spectrum are applied to the selected intrinsic mode function which stands for the gear wear faults.The results show that the method can effectively diagnose the faults of the gear wear.