基于经验模态分解的瞬时相位分析方法的应用

提出了基于经验模态分解的瞬时相位分析的新方法。通过对振动信号作经验模态分解得到信号的固有模态函数，再求出各个固有模态函数的Hilbert变换，得到信号的瞬时相位．通过瞬时相位的傅里叶分析就可提取信号特征。介绍了该方法的基本原理，并应用于齿轮箱轴承的故障诊断研究，通过选取表征轴承故障的固有模态函数进行瞬时相位和傅里叶分析，就可提取轴承故障振动信号的特征。通过对轴承故障实验信号的分析．表明该方法能有效地诊断轴承的故障。

Application of Instantaneous Phase Analysis Based on Empirical Mode Decomposition

A novel method of instantaneous phase analysis based on empirical mode decomposition is presented.Firstly,the empirical mode decompositions of the vibration signals result in the intrinsic mode functions with different time scales.Then,the Hilbert transform is applied to each intrinsic mode function,therefore,the instantaneous phase is obtained.Finally,the fast Fourier transform is applied to the instantaneous phase,and the feature is extracted by the frequency spectrum analysis.The method is introduced in theory and is used to diagnose bearing faults.In order to recognize the fault features,the instantaneous phase analysis and the fast Fourier transform are applied to the selected intrinsic mode functions standing for the bearing faults.The experimental results show that the instantaneous phase analysis based on empirical mode decomposition can effectively diagnose the bearing foults.