基于经验模态分解与差分包络谱的齿轮故障诊断

为了准确地进行齿轮故障诊断,结合经验模态分解与纯调频信号差分包络谱,对齿轮故障诊断提出了一种新方法;首先,对齿轮振动信号进行经验模态分解得到多个不同分量;其次,根据峭度最大分量及其相邻分量的峭度值情况,合成有效分量;然后,运用经验调幅-调频分解得到纯调频信号;接着,将纯调频信号应用经验调幅-调频分解及傅里叶变换得到纯调频信号差分包络谱;最后,观察分析纯调频信号的差分包络谱进行故障诊断;利用该方法对断齿齿轮的振动信号进行分析,验证了方法的有效性。

Gear fault diagnosis based on Empirical Mode Decomposition anddifferential envelope spectrum of pure frequency modulation signal

In order to diagnose gear fault accurately, a new fault diagnosis method is proposed based on EMD and difference envelope spectrum of pure frequency modulation signal. Firstly, the empirical mode decomposition is used to decompose the gear vibration signal to obtain several components; secondly, according to the kurtosis of the maximum kurtosis value and its adjacent components, the effective components are synthesized; Next, the empirical AM-FM decomposition is used to obtain the pure FM signal; Then, the empirical AM-FM decomposition and Fourier transform are used to obtain the difference of pure FM signal Finally, fault diagnosis is carried out by the difference envelope spectrum of pure frequency modulation signal. The validity of the method is verified by processing the vibration signal of gear broken.